The present application is related to U.S. patent application Ser. No. 14/841,558 filed by Jinkins et al. on Aug. 31, 2015, U.S. Pat. No. 8,773,301, U.S. patent application Ser. No. 14/536,330 filed Nov. 7, 2014 by Jinkins et al., now U.S. Pat. No. 9,939,526, U.S. patent application Ser. No. 14/482,681 filed Sep. 10, 2014 by Wood et al., now U.S. Pat. No. 9,733,349, U.S. patent application Ser. No. 14/301,199 filed on Jun. 10, 2014 by McCusker et al., now U.S. Pat. No. 9,384,586, U.S. patent application Ser. No. 13/627,788 filed on Sep. 26, 2012 by Jinkins et al., now U.S. Pat. No. 9,024,805, U.S. patent application Ser. No. 12/892,563 filed on Sep. 28, 2010 by Woodell et al., now U.S. Pat. No. 8,643,533, U.S. patent application Ser. No. 13/250,798 filed on Sep. 30, 2011 by Jinkins et al., now U.S. Pat. No. 9,562,788, U.S. patent application Ser. No. 12/236,464 filed on Sep. 23, 2008 by McCusker et al., now U.S. Pat. No. 8,977,491, U.S. patent application Ser. No. 12/167,200 filed on Jul. 2, 2008 by Woodell et al., now U.S. Pat. No. 7,889,117, U.S. patent application Ser. No. 12/180,293 filed on Jul. 25, 2008 by Woodell et al., now U.S. Pat. No. 8,077,078, U.S. patent application Ser. No. 13/247,742 filed on Sep. 28, 2011 by Wilson et al., now U.S. Pat. No. 8,896,480, U.S. patent application Ser. No. 11/851,323 filed on Sep. 6, 2007 by McCusker, now U.S. Pat. No. 8,515,600, U.S. patent application Ser. No. 11/900,002 on Sep. 26, 2007, now U.S. Pat. No. 7,859,449, U.S. patent application Ser. No. 13/241,051 filed on Sep. 22, 2011 by Tiana et al., now U.S. Pat. No. 8,917,191, U.S. patent application Ser. No. 12/263,282 filed on Oct. 31, 2008 by McCusker et al., now U.S. Pat. No. 9,354,633, U.S. Pat. No. 8,896,480 and U.S. Pat. No. 8,077,078, all of which are herein incorporated by reference in their entireties and assigned to the assignee of the present application.
Sensor systems are used by aircraft. For example, an aircraft uses an enhanced vision system (EVS) or enhanced flight vision system (EFVS) to provide imagery sensed by at least one sensor to an aircraft crew. Sensors are often unable to identify required visual references in certain low visibility conditions, such as heavy fog. Heavy fog can be problematic during surface movement, such as taxiing or other surface operations.
Ground based infrastructures have been installed to assist low visibility operations (LVOs). For example, surface movement guidance control systems (SMGCS) allow a control tower to control traffic on the surface of the airport during low visibility operations. However, such ground based infrastructure systems are expensive and are only available at the largest airports.
The Federal Aviation Administration (FAA) regulations, such as, 14 C.F.R. Part 121, do not permit taxi operations when the visibility at the airport is less than 1200 feet runway visual range (RVR). The FAA along with passenger and freight air carriers are evaluating aircraft centric solutions using an enhanced forward looking infrared (FLIR) sensor or 94 gigahertz (GHz) radar that could allow taxi operations to continue during reduced visibility conditions. The FAA has a goal to achieve safe taxi operations for 14 C.F.R Part 121 Air Carriers in visibility conditions as low as 300′ RVR.
In one aspect, embodiments of the inventive concepts disclosed herein are directed to an image processing system for enhanced vision including a radar system, a processor and memory coupled to the processor. The memory contains program instructions that, when executed, cause the processor to instruct the radar system to provide radar beams and receive radar returns with improved angular and/or range resolution for deriving image data of the external scene topography during surface operations. The radar system derives the image data using intensity and location associated with the radar returns determined as a relative location to the radar system.
In a further aspect, embodiments of the inventive concepts disclosed herein are directed to an enhanced vision system including a weather radar system and a display. The weather radar system is configured to generate image data representative of an airport surface environment associated with radar returns received by the weather radar system during surface operations. The radar returns are in an X-band or a C-band, and the weather radar system is configured to process the radar returns. Each of the radar returns is associated with a location determined using an antenna position, an antenna attitude, a beam sharpening angle, and a range. The weather radar system is also configured to process intensity and location associated with the radar returns to provide radar image data. The display is in communication with the weather radar system and configured to display an image associated with the image data.
In a further aspect, embodiments of the inventive concepts disclosed herein are directed to a weather radar system for an aircraft during surface operations. The aircraft includes aircraft sensors. The weather radar system includes an antenna, and a control circuit coupled with the antenna and configured to provide radar beams via the antenna toward external surroundings, to receive radar returns, process data associated with the radar returns to determine the location associated with the radar returns, and process the radar returns with their associated location to provide radar image data for provision of a radar image. The location is determined with a high resolution angle and range.
In a further aspect, embodiments of the inventive concepts disclosed herein are directed to a method of providing a radar image on an electronic display during surface operations. The method includes determining an antenna position, determining an antenna attitude, receiving radar returns from an X-band or C-band airborne weather radar system, and determining a location associated with each of a number of radar returns using an antenna position, an antenna attitude, a beam sharpening angle, and a range, determining an intensity associated with each of a plurality of radar returns. The method also includes providing a radar image on the electronic display. The radar image is derived from the intensity and location associated with the radar returns.
Implementations of the inventive concepts disclosed herein may be better understood when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings, which are not necessarily to scale, and in which some features may be exaggerated and some features may be omitted or may be represented schematically in the interest of clarity. Like reference numerals in the figures may represent and refer to the same or similar element, feature, or function. In the drawings:
Before describing in detail the inventive concepts disclosed herein, it should be observed that the inventive concepts disclosed herein include, but are not limited to, a novel structural combination of data/signal processing components, sensors, and/or communications circuits, and not in the particular detailed configurations thereof. Accordingly, the structure, methods, functions, control and arrangement of components, software, and circuits have, for the most part, been illustrated in the drawings by readily understandable block representations and schematic diagrams, in order not to obscure the disclosure with structural details which will be readily apparent to those skilled in the art, having the benefit of the description herein. Further, the inventive concepts disclosed herein are not limited to the particular embodiments depicted in the exemplary diagrams, but should be construed in accordance with the language in the claims.
A weather radar based surface operation display system advantageously scans a wide field of view (FOV) (e.g., more than 30 degrees in azimuth) and allows the aircraft to observe any obstacles before the taxiing aircraft commits to making a turn. The weather radar based surface operation display system does not add the additional expense associated with active sensing systems, such as, millimeter wavelength (MMW) radar systems (e.g., 94 GHz) and FLIR cameras that can have limited range in certain low visibility conditions, such as, heavy fog, rain, or other precipitation. The FLIR/camera based systems are generally limited to only seeing ˜30 degrees of view directly ahead of the aircraft and cannot see runway painted lines when the airport surfaces are obscured in snow, ice or even heavy rain. Advantageously, using a weather radar system provides greater sensing range than millimeter wavelength radar sensing systems, passive FLIR camera systems or visible light camera systems in low visibility condition in some embodiments. The weather radar system's superior ability to penetrate fog, rain, and snow allows the radar system to detect the runway edge lights during low visibility operations at a much greater distance than passive FLIR or visible light cameras in some embodiments.
In some embodiments, a weather radar is used as an imaging sensor to provide a visualization of the surrounding environment during surface operations. The visualization can be presented to the pilot on a display (e.g., head up display (HUD or head down display (HDD)), thereby allowing the pilot to see the surrounding environment in low visibility conditions. The weather radar system is configured to have sufficient resolution to detect small objects, such as, runway and taxiway edge lights in some embodiments. The weather radar is configured to perform at these higher resolutions by enhancing the angular resolution using beam sharpening with a mono-pulse or sub-aperture technique and/or by enhancing the range resolution using ultra-wideband pulsing, stepped-frequency compression, pulse compression, or other compression techniques in some embodiments.
According to various exemplary embodiments, a display system, such as an EVS, a sensor system, or a radar system, uses radar sensing to provide imagery while surface operations for a pilot or co-pilot. In some embodiments, a Doppler weather radar system is configured to have enhanced resolution (e.g., angular resolution and/or range resolution). Reflectivity of radar returns from runway structures in an airport terminal or runway environment (e.g., an edge light system) are sensed in some embodiments.
In some embodiments, a weather radar system achieves accurate location determination using an accurate beam sharpening angle. In some embodiments, the weather radar system creates a two dimensional or three dimensional grid containing the spatial density of the intensity of the radar returns. Each radar return has an associated location (e.g., location relative to the radar system) that is based on the radar antenna position in some embodiments. From the radar antenna position, the location of the radar returns is found using the attitude of the antenna, the beam sharpening angle and the range (e.g., specific to that individual radar return) in some embodiments. The radar returns are processed to determine the spatial density of the intensity associated with the radar returns. The spatial density of the intensity can be used to generate an image representing the target environment sensed by the radar scan.
Using the weather radar system configured according to some embodiments also provides EVS imagery having sufficient accuracy in low visibility conditions (given that many of the visual references required under Title 14 of the Code of Federal Regulations, part 91, such as approach lighting systems, threshold lighting systems, runway edge lighting systems, and other runway structures, are structures that exhibit high radar reflectivity). The imagery allows low visibility operations at less than 1200 feet RVR or 300 RVR and shows obstacles (e.g., other aircraft, surface vehicles, and other equipment) in the path of the aircraft in some embodiments. In some embodiments, the lack of radar returns from the runway and taxiway surface combined with returns from runway structures and lights can provide a suitable image for runway and taxiway identification by the pilot. A surface map image (e.g., from an SVS or other map system) can be combined with the radar image to provide additional information of the surface environment that can help the pilot navigate on the surface, but the provided surface map image depends on a database and on an absolute positioning and attitude sources for which integrity cannot be guaranteed. The image generated by the radar can be generated using only relative positioning and attitude sources. Combining the two independently created images confirms the alignment and colocation of the radar image and the surface map image in order to validate the integrity of the positioning and attitude sources. The combined independent images also validate the accuracy of realism of the features of the surface map database.
The radar return data is processed to provide a two-dimensional aircraft situation display (e.g., plan view display (e.g., top down)) or a three dimensional exocentric or perspective aircraft situation display representative of taxiway and runway structures in an airport terminal or runway environment based on the radar returns as described in U.S. patent application Ser. Nos. 14/841,558, 14/301,199, 14/482,681 and 14/5363,300 incorporated herein by reference in their entireties in some embodiments. For example, the radar processing circuit can be embodied as a processor and a non-transitory memory containing program instructions that, when executed, cause the processor to instruct the radar system to provide radar beams and receive radar returns via the antenna and generate image data from the radar returns.
According to some embodiments, a radar system, such as, a weather radar system, can be used to sense features of a runway environment. In some embodiments, the regular, periodic, equal spacing nature of visual aids, such as, approach lighting system, runway edge lights, taxi way lights, and/or center line lights, are identified from the image generated from the radar data. In certain embodiments, the systems and methods can be utilized as an extension to a combined vision system (CVS).
Referring to
The displays 20 and the combiner 21 can be used to provide information to the flight crew, thereby increasing visual range and enhancing decision-making abilities. In some embodiments, the displays 20 and the combiner 21 include a weather display, a joint display, a weather radar surface map and a terrain display. Further, the displays 20 may include images from a synthetic vision system (SVS) or an enhanced vision system (EVS) (e.g., an EFVS). For example, the displays 20 include a display 22 configured to display a perspective image 24, exocentric image, or surface map image of the surface environment of the aircraft. Combiner 21 also or alternatively displays a perspective image 25, an exocentric image or a surface map image of the surface environment of the aircraft in some embodiments Other views of terrain and/or weather information may also be provided (e.g., plan view, horizontal view, vertical view, or combinations thereof). The displays 20 can be implemented using any of a variety of display technologies, including CRT, LCD, organic LED, dot matrix display, and others.
According to some embodiments, the display system 10 is configured to provide an image in response to radar data to at least one of the displays 20 or the combiner 21. In
Referring to
The aircraft sensors 105 are associated with navigation equipment and flight control devices in some embodiments and can include one or more of an inertial navigation system (INS), an inertial reference system (IRS), a flight computer, a barometric altimeter, a radar altimeter, a global navigation satellite system (GNSS), air speed sensors, heading sensors, etc. The aircraft sensors 105 include an aircraft attitude sensor 106 and an aircraft position sensor 108 in some embodiments.
The aircraft position sensor 108 is any device or system for providing an electronic signal or data representing aircraft position. In some embodiments, the aircraft position includes a position parameter (e.g., latitude and longitude) and an aircraft altitude parameter. The aircraft position sensor 108 is a GNSS or INS in some embodiments. The aircraft altitude can be provided by a GNSS, an altitude sensor (e.g., barometric sensor), an INS, or other device. In some embodiments, the aircraft position also includes velocity and acceleration parameters associated with aircraft position (e.g., for predicting future position of the aircraft).
The aircraft attitude sensor 106 is any device for providing an electronic signal or data representing attitude of the aircraft. The aircraft attitude includes a heading parameter, a pitch parameter, a yaw parameter, and a roll parameter in some embodiments. In some embodiments, the aircraft position sensor 108 and the aircraft attitude sensor 106 are parts of a single positioning or navigation sensor system, such as a GNSS or INS or an integrated GNSS/INS. In some embodiments, the aircraft attitude also includes angular velocity and acceleration parameters associated with attitude (e.g., for predicting future attitude of the aircraft). In some embodiments, the radar antenna 120 has an attitude sensor for providing attitude and changes in attitude of the radar antenna 120 with respect to the aircraft. The attitude of the radar antenna 120 relative to the attitude of the aircraft can be represented by a scan angle parameter for the radar antenna 120.
The radar system 102 receives data from the aircraft sensors 105 and provides radar image data for display by display system 10. The radar system 102 is a weather radar system generally located inside the nose of the aircraft, inside a cockpit of the aircraft, on the top of the aircraft or on the tail of the aircraft in some embodiments. The radar system 102 includes a radar antenna 120, a processor 125, a radar data storage unit 126, and an image frame memory 128. The radar system 102 can be a weather radar system, such as, a Multiscan™ radar system from Rockwell Collins, Inc. configured as described herein. The radar system 102 utilizes a split, half or sub-aperture or other technique for obtaining radar data associated with external surroundings in some embodiments. The radar system 102 can use the split or sub-aperture techniques of the radar systems described in U.S. application Ser. Nos. 14/841,558, 13/627,788, now U.S. Pat. No. 9,024,805, Ser. No. 12/892,563, now U.S. Pat. No. 8,643,533, Ser. No. 13/250,798, now U.S. Pat. No. 9,562,788, Ser. No. 12/236,464, now U.S. Pat. No. 8,977,491, Ser. No. 12/167,200, now U.S. Pat. No. 7,889,117 and U.S. Pat. No. 8,077,078, incorporated herein by reference in their entirety and assigned to the assignee of the present application. The type of the radar system 102 and data gathering techniques are not discussed in the specification in a limiting fashion.
The processor 125 uses radar data stored in the radar data storage unit 126 and the data from the aircraft sensors 105 to provide and store radar image data in the image frame memory 128. The radar data can be provided directly from the transmit/receive circuits associated with the radar antenna 120 or be stored in the processor 125 in some embodiments. The processor 125 includes a location determiner 134, an accumulator 136, an antenna scan angle determiner 138, a beam sharpening angle determiner 140, a range determiner 142, an intensity determiner 144, and a radar image generator 127. In some embodiments, the radar image generator 127 is separate from the processor 125 and is part of a graphics processor or other display processor. The accumulator 136, the location determiner 134, the radar data storage unit 126, the antenna scan angle determiner 138, the beam sharpening angle determiner 140, the range determiner 142, the intensity determiner 144, and the radar image generator 127 are software modules, circuits, or combinations thereof in some embodiments.
The location determiner 134 uses data from the aircraft sensors 105 and from the radar data storage unit 126, the antenna scan angle determiner 138, the beam sharpening angle determiner 140, and the range determiner 142 to identify a location associated with radar returns received at the radar antenna 120 in some embodiments. The locations are relative to the aircraft or the radar system 102 (e.g., the radar antenna 120 or pilot's position) and are determined without the use of an absolute position source (e.g., a GNSS) in some embodiments. The data associated with the radar returns are stored in the radar data storage unit 126 in some embodiments. The location determiner 134 uses the position of the radar antenna 120, the attitude of the aircraft, the antenna pointing angle, the beam sharpening angle, and the range to determine the location associated with the radar returns in some embodiments. The intensity determiner 144 determines an intensity associated with the radar returns in some embodiments. The intensity of a collection of radar returns are accumulated by location in the accumulator 136 in some embodiments.
The processor 125 causes the radar antenna 120 to provide radar signals or beams and to receive radar returns (e.g., weather radar returns data). The processor 125 is an electronic processor that processes the radar returns and provides the radar data associated with the radar returns to the radar data storage unit 126. The radar signals and radar returns are in the X-band or C-band in some embodiments.
The radar system 102 provides the radar data (e.g., weather radar return data) to the radar data storage unit 126 in one embodiment. The radar data can be processed and filtered for various weather sensing functions as well as location determination functions. In some embodiments, the radar image generator 127 provides the radar image data (e.g., in image frame format) for storage in the image frame memory 128 using the accumulated radar returns in the accumulator 136. In some embodiments, the accumulator 136 determines the spatial density of the intensity by area or volume to create the radar image data. The spatial density of the intensity is used by the radar image generator 127 to provide the radar image data indicative of intensity of radar returns at locations associated with that area or volume.
The image frame memory 128 is a video or graphic electronic memory in some embodiments. The radar image data represents an exocentric, perspective and/or surface map view image in some embodiments. The radar image generator 127 and the accumulator 136 are an electronic memory, processor circuitry, or combination thereof in some embodiments. In some embodiments, the radar image generator 127 and accumulator 136 are part of a digital signal processor or the processor 125 or is a software module executing on the digital signal processor or the processor 125. The radar image generator 127 and accumulator 136 are embodied as a register in some embodiments. The radar data storage unit 126 is an electronic memory in some embodiments.
In some embodiments, a location translation operation is performed by the radar image generator 127 to project the radar return data into radar image data. In some embodiments, the radar image generator 127 is using a projection viewpoint reference for generating the radar image data that is using the same location and attitude reference as the projection viewpoint that the map image generator 152 is using for generating the surface map image data to generate a perspective view, or an exocentric view, or a plan view.
The radar data associated with the external surroundings can represent sensed targets and the location of the sensed targets. Targets include terrain, man-made features, objects, runways, etc. Improved angular resolution and range resolution techniques discussed in U.S. patent application Ser. No. 14/536,330 filed Nov. 7, 2014 by Jinkins et al. incorporated herein by reference in its entirety allows the location of the targets to be more accurately determined and represented in the radar image data in some embodiments. The radar system 102 can utilize clutter suppression and Doppler filtering to improve performance in some embodiments.
In some embodiments, the radar system 102 provides radar data representing a 120 degree field of view in accordance with a weather radar sweep. The sweep can be limited to a 30 degree sweep in certain embodiments. The sweep is directed toward the surface of the Earth so that returns are obtained which allow runway environment features to be sensed. Various types of sweeps, sweep patterns, and sweep speeds can be utilized without departing from the scope of the inventive concepts disclosed herein.
The radar system 102 embodied as a weather radar allows existing avionic equipment to be used as a real-time sensor for providing a radar-derived enhanced image of the external scene topography to the pilot in some embodiments. The image or representation generated by the radar system 102 is provided on the displays 20 or the combiner 21 can function as an EVS to provide situation awareness to the pilot in some embodiments. In some embodiments, the image or representation generated by the radar system 102 is provided on the displays 20 or the combiner 21 can be part of a low visibility operations system approved for use at lower RVR.
The radar system 102 advantageously provides increased range resolution in some embodiments. The increased resolution in range and angle allows a higher resolution for the location determination by the location determiner 134 and hence higher image resolution to be provided on the displays 20 and the combiner 21 in some embodiments.
According to some embodiments, the radar system 102 uses a beam sharpening method to achieve increased angular resolution. In some embodiments, the radar system 102 uses techniques, such as, beam sharpening (e.g., horizontal beam sharpening) and de-convolution of the beam point spread function for improved angular resolution. In some embodiments, the radar system 102 can use beam sharpening as a process that improves the antenna-induced poor angular resolution (e.g., due to the beam width). There are many methods that can be used such as: Monopulse Radar, Sub-Aperture Radar or Split-Aperture Radar, etc. Mathematical methods can be utilized to determine a center of the radar echo for identifying runway features. Techniques for beam sharpening and determining beam sharpening angles and scan angles are discussed in U.S. patent application Ser. No. 13/627,788, filed Sep. 26, 2012, now U.S. Pat. No. 9,024,805; Ser. No. 12/892,563, filed Sep. 28, 2010, now U.S. Pat. No. 8,643,533; Ser. No. 13/250,798, filed Sep. 30, 2011, now U.S. Pat. No. 9,562,788; Ser. No. 12/236,464, filed Sep. 23, 2008, now U.S. Pat. No. 8,977,491; and Ser. No. 12/167,200 filed Jul. 2, 2008, now U.S. Pat. No. 7,889,117; and U.S. Pat. No. 8,077,078 incorporated herein by reference in their entireties.
The radar system 102 uses the radar antenna 120 that toggles between transmitting and receiving on the full aperture and transmitting on the full aperture while receiving on the partial aperture in some embodiments. These techniques can be used to accurately estimate at which angle the measurement was located within the radar beam in some embodiments. The received returns are processed to determine a high resolution estimate of a measurement angle relative to the boresight of the antenna beam in some embodiments. According to some embodiments, the returns are processed using a complex conjugate multiplication method to determine the beam sharpening angle determined by the beam sharpening angle determiner 140. The processing can be related to sequential lobing processing but is executed in the phase domain as opposed to the common amplitude domain in some embodiments.
In some embodiments, the radar system 102 uses sequential lobing techniques where two antennas that are close to the same place may be used, going back and forth between the two antennas. An amplitude signature or phase signature that varies between the two halves of the antennas may be used to obtain data about the location associated with the returned radar reflection from a sensed target (e.g., an object such as other aircraft, terrain, lights, or towers). Sequential lobing generally does not use phase comparisons with moving targets due to Doppler-induced phase changes that contaminate the phase center measurement. However, using a complex conjugate multiply method allows the Doppler-induced phase changes to be removed by cancellation. Therefore, a change in phase center between multiple different sub-apertures may be determined and used to determine the beam sharpening angle associated with the returned radar reflection from a sensed target.
In some embodiments, the effective waveform bandwidth of the radar system 102 is increased to increase range resolution. To provide higher range resolution, the radar system 102 provides ultra-wideband radar (UWB) pulses (e.g., extremely narrow pulses with high power), or provides intra pulse compression (frequency of phase modulation of the transmitted pulse) in some embodiments. Frequency coding techniques including the common linear frequency modulation (LFM) or chirp method and discrete coded segments within the pulse are utilized in some embodiments. Phase coding techniques including binary phase codes as well as various polyphase codes can be utilized in some embodiments. To provide higher range resolution, the radar system 102 provides interpulse pulse compression or stepped frequency compression (e.g., successive pulses with discrete increasing frequency steps) in some embodiments. In some embodiments, stepped frequency compression advantageously achieves high effective bandwidth with narrow instantaneous bandwidth. The receive bandwidth is smaller, has lower noise bandwidth, and a higher signal to noise ratio in some embodiments. Analog-to-digital sampling rates are lower (vs. pulse-compression) in some embodiments. In addition, the stepped frequency compression also has a smaller peak power (e.g., when compared to impulse), provides flexible transmit frequency control, can “hop” over restricted or undesired transmit frequencies, enables adaptive/cognitive frequency use, and rejects later received clutter from earlier transmit pulses in some embodiments. Further, the stepped frequency compression techniques can provide returns from clutter in ambiguous ranges that have frequencies that are different from returns from targets and rejects ambiguous clutter returns in the receiver IF filter of the radar system 102 in some embodiments. Stepped frequency compression generally does not achieve range resolution with a single pulse, requires transmit, receive and processing of a group of pulses for any one bin, and has more pronounced range-Doppler coupling (e.g., different Doppler shifts for each frequency) in some embodiments.
The processor 125 can be any hardware and/or software processor or processing architecture capable of executing instructions and operating on navigational and radar data. The processor 125 can be capable of determining navigational information such as altitude, heading, bearing, location, and changes thereof based on data from the aircraft sensors 105. The processor 125 can be, or can include one or more microprocessors, an application specific integrated circuit (ASIC), a circuit containing one or more processing components, a group of distributed processing components, circuitry for supporting a microprocessor, or other hardware configured for processing.
In some embodiments, the display system 10 includes the map display system 107 including a surface map database 150, a surface map image generator 152, a frame combiner 154, a surface map image frame memory 156, and a combined image frame memory 162. Surface map image frame memory 156 and the combined image frame memory 162 are similar to the image frame memory 128. In some embodiments, the display system 10 is configured to provide a combined image using the radar image data stored in the image frame memory 128 and a surface map image stored in the surface map image frame memory 156.
The surface map image generator 152 is configured to provide an image based upon aircraft position as sensed by aircraft sensors 105 and surface feature data stored in the surface map database 150. The surface map image is generated as an exocentric, perspective, top down and/or plan view in some embodiments.
In some embodiments, the surface map database 150 is memory unit storing surface feature data including airport surface data referenced to absolute coordinate locations. In some embodiments, the surface map image generator 152 and the frame combiner 154 are software modules (e.g., executed on processor 125), circuits, or combinations thereof in some embodiments. A hardware platform associated with the radar system 102 (e.g., the processor 125), an SVS, or an EVS can be used to provide the operations of the map display system 107.
The surface map image generator 152 provides surface map image data in response to absolute position and attitude sensed using aircraft sensors 105. The surface map image data can be referenced to absolute locations. SVS and surface mapping routines can be used to provide the surface map image data in response to position, attitude, and movement. In some embodiments, the map image generator 152 is using a projection viewpoint reference for generating the surface map image data that is using the same location and attitude reference as the projection viewpoint that the radar image generator 127 is using for generating the radar image data to generate a perspective view, or an exocentric view, or a plan view. The surface map image data is stored in surface map image frame memory 156 and can be displayed on the combiner 21 or the displays 20 via HUD computer 104 and HDD computer 103, respectively.
In some embodiments, the frame combiner 154 receives the surface map image data from the surface map image frame memory 156 or surface map image generator 152, receives the radar image data from the image frame memory 128 or the radar image generator 127, and provides combined image data to the combined image frame memory 162. The combined image data can be displayed on the combiner 21 or the displays 20 via HUD computer 104 and HDD computer 103, respectively. In some embodiments, both the surface map image data and the radar image data are generated from the same viewpoint using the same projection method so that both images are in the same location, format and size and are overlaid upon each other to provide the combined image data. In some embodiments, the radar image data is generated only using relative positioning and attitude sources and the surface map image data is generated using absolute positioning and attitude sources. In some embodiments, the radar image data has priority over the surface map image data so that sensed images associated with the radar image data are displayed and not blocked or overwritten by features in the surface map image data. Other merging techniques can be utilized by the frame combiner 154.
With reference to
A collection of radar returns with associated return intensity parameters 302 are processed on a location basis in the operation 304 using the relative location of the radar returns parameters 303. In some embodiments, the operation 304 accumulates the return intensity parameters 302 by location to provide the spatial density of the intensity parameters 305. In some embodiments, the accumulation step is not performed. The accumulated relative positioned radar returns or spatial density of the intensity parameters 305 are transformed to the desired viewpoint to provide radar image data 308 in an operation 306 using geometric projection in some embodiments. The flow 300 is used to create an image from the accumulated relative positioned radar return data or spatial density of the intensity parameters 305 (e.g., the spatial density of the intensity from the collection of radar returns that each have an associated location and intensity (e.g., the return intensity parameters 302, and relative location of radar returns parameters 302)) in some embodiments. The radar image data 308 is used in enhanced radar image data or combined image data 370 in some embodiments.
In an operation 310, the radar system 102 uses changes in aircraft position and attitude parameters from the aircraft sensors 105 to provide the relative location of radar returns parameters 303 used in the operation 304. The operation 310 uses a relative change in position parameter 311 associated with the radar antenna 120, a range of the radar returns parameter 312, and a relative direction of the radar returns parameter 314 to determine the relative location of radar returns parameters 303. In some embodiments, the radar returns have a relative location with respect to a position at the beginning of a certain timeframe. In some embodiments the start of that timeframe is the start of the data collection that is used to generate the radar data required to generate a single radar image. In some other embodiments the start of that timeframe is the start of a radar scan. The relative locations generated by operation 310 are relative to a position at the beginning of a timeframe and operation 310 accommodates changes in position determined from the relative change in position parameter 311. The operation 310 is a geometry process for the radar returns that places each return in its appropriate location.
The relative direction of the radar returns parameter 314 is determined from an operation 322 which combines an antenna scan angle parameter 316 of the radar antenna 120, a beam sharpening angle parameter 318, and a relative change in attitude (e.g., heading) parameter 320. Aircraft and radar antenna attitude and angular velocity parameters from the aircraft sensors 105 (e.g., pitch, roll, heading, pitch rate, roll rate, yaw rate and scan angle) are used in operation 322 in some embodiments.
The radar system 102 uses an aircraft attitude parameter from the aircraft sensors 105 to perform the operation 322 with the antenna scan angle parameter 316, the beam sharpening angle parameter 318 and the relative change in attitude parameter 320. The operation 322 is a combination operation that provides the relative direction of radar returns parameter 314 in some embodiments.
The heading from the aircraft attitude sensor 106 is the direction of the longitudinal axis of the aircraft with respect to North in some embodiments. The antenna scan angle parameter 316 represents the direction of the boresight of the radar antenna 120 with respect to the heading of the aircraft in some embodiments. The beam sharpening angle parameter 318 represents the radar sensed direction of the radar returns with respect to the boresight of the radar antenna 120 in some embodiments. In some embodiments, heading is not used directly, but instead only changes in the heading are used to determine the relative direction of the radar returns parameter 314. In some other embodiments, the angular velocity parameter that is the derivative of the heading, the heading rate, is used to determine the changes in the heading instead of using the heading. In some embodiments, the relative change in heading is determined relative to the heading at the beginning of a certain timeframe. In some embodiments the start of that timeframe is the start of the data collection that is used to generate the radar data required to generate a single radar image. In some other embodiments the start of that timeframe is the start of a radar scan.
The operation 304 accumulates the radar return intensity parameters 302 based on the relative location of those radar returns 303. The intensity can be sensed as a decibel (dB) value of electromagnetic energy received at the radar antenna 120. All radar returns have a location and intensity value in some embodiments. In some embodiments the intensity is a measure for the power of the reflected radio energy.
The operation 306 provides the radar image data 308 using a relative viewpoint position and attitude with respect to the radar or viewpoint parameters 326 associated with radar antenna 120 and a projection method parameter 328. In some embodiments the image generation operation of 306 using the viewpoint parameters 326 and projection method parameters 328 generates perspective image data, exocentric image data, or surface map image data.
Flow 300 includes an optional flow 350 in some embodiments. Flow 350 is used to provide surface map image data 362 that is provided in the combined image data 370. The operation 358 uses geometry projection to provide the surface map image data 362 using projection parameters 360, an absolute position of a viewpoint 352, an absolute attitude of a viewpoint 354, and surface map data 356. The surface map image data 362 is generated using the same position and attitude of the viewpoint as used for generation of the radar image data 308 in operation 306, but for operation 358 the absolute position values of the viewpoint 352 and absolute attitude values of the viewpoint 354 are used instead of relative position and attitude values of the viewpoint. In some embodiments the image generation operation of 358 using viewpoint parameters 352 and 354 and projection parameters 360 generates perspective image data, exocentric image data, or surface map image data. The surface map image data 362 is combined with the radar image data to provide the combined image data 370 from the same viewpoint with the same projection method in some embodiments. Various image generation routines also used for synthetic vision and surface mapping can be utilized in the operation 358.
In some embodiments, a pilot can ascertain if there is a mismatch error by observing the combined image associated with the combined image data 370. In some embodiments, a pilot can ascertain if there is an obstacle in the path of the aircraft by observing the combined image associated with the combined image data 370 or the radar image associated with the radar image data 308.
With reference to
With reference to
With reference to
With reference to
With reference to
With reference to
With reference to
With reference to
With reference to
The radar data is processed to determine the intensity and location of the radar returns. The locations of the radar returns are determined using the radar data and parameters from the aircraft sensors 105 (e.g., according to flow 300) in some embodiments. At an operation 1210, radar image data is generated from the radar returns with their associated intensity and location data. The radar image data is generated based on a transformation using a viewpoint and projection method. The location of the viewpoint is relative to the radar system 102 in some embodiments. At an operation 1212, surface map data is provided from a surface map database. At an operation 1214, surface map image data is generated from the surface map data. The surface map image data is generated based on a transformation using a viewpoint and projection method. The location of the viewpoint is related to the absolute coordinates of the surface map database in some embodiments. In some embodiments the viewpoint location and projection method for operation 1210 and operation 1214 are the same, even though the viewpoint location can be referenced relative or absolute for operations 1210 and 1214. At an operation 1216, the radar image data from operation 1210 and surface map image data from operation 1214 is combined to provide combined image data for display.
In some embodiments the combined image data can be from the perspective of the pilot's eye in the aircraft flight deck. In some other embodiments the combined image data can be from the perspective of a viewpoint behind the aircraft directed towards the aircraft also known as an exocentric perspective. In yet other embodiments the combined image data can be from the perspective of a viewpoint above the aircraft directed down towards the aircraft also known as a top down perspective. The locations of the viewpoints are derived from aircraft attitude, velocity and positioning sources, such as the aircraft sensors 105. Operation 1216 combines the images in such a way that the identity of the two image sources is still maintained in some embodiments. The display system 10 combines or fuses the independently created images from both the surface map database (e.g., SVS database) and the images derived from radar data from the radar system 102 to confirm the integrity of the positioning and attitude source along with the accuracy of the surface map database according to some embodiments.
In some embodiments, the surface map image data and the radar image data are compared and warnings are provided if there is a mismatch in an operation 1220. For example, if edge lights detected in the radar image data are not within a tolerance for locations for such lights in the surface map data, a data mismatch error is provided. In some embodiments, the pilot or flight crew can observe a mismatch error based upon edge lights being out of alignment with the edge of the runway in the surface map image.
Various matching algorithms can be utilized to determine if the radar image data and the surface map image data are mismatched. The compare function generally looks for specific airport features and performs such comparisons on a regular, repeated, periodic schedule (e.g., every couple of seconds). In some embodiments, surface features, such as runway features, can be matched. Runway features are readily ascertainable from radar data. If the compare function indicates that there is not a match, a monitor indicates there may be a database error or an error with the radar system 102 or a positioning or attitude error associated with the aircraft sensors 105. The indication can be provided on the combiner 21 or on the displays 20.
The scope of this disclosure should be determined by the claims, their legal equivalents and the fact that it fully encompasses other embodiments which may become apparent to those skilled in the art. All structural, electrical and functional equivalents to the elements of the above-described disclosure that are known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be encompassed by the present claims. A reference to an element in the singular is not intended to mean one and only one, unless explicitly so stated, but rather it should be construed to mean at least one. No claim element herein is to be construed under the provisions of 35 U.S.C. § 112, sixth paragraph, unless the element is expressly recited using the phrase “means for.” Furthermore, no element, component or method step in the present disclosure is intended to be dedicated to the public, regardless of whether the element, component or method step is explicitly recited in the claims.
Embodiments of the inventive concepts disclosed herein have been described with reference to drawings. The drawings illustrate certain details of specific embodiments that implement the systems and methods and programs of the present disclosure. However, describing the embodiments with drawings should not be construed as imposing any limitations that may be present in the drawings. The present disclosure contemplates methods, systems and program products on any machine-readable media for accomplishing its operations. Embodiments of the inventive concepts disclosed herein may be implemented using an existing computer processor, or by a special purpose computer processor incorporated for this or another purpose or by a hardwired system.
Embodiments in the inventive concepts disclosed herein have been described in the general context of method steps which may be implemented in one embodiment by a program product including machine-executable instructions, such as program code, for example in the form of program modules executed by machines in networked environments. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. Machine-executable instructions, associated data structures, and program modules represent examples of program code for executing steps of the methods disclosed herein. The particular sequence of such executable instructions or associated data structures represent examples of corresponding acts for implementing the functions described in such steps.
It should be noted that although the diagrams herein may show a specific order and composition of method steps, it is understood that the order of these steps may differ from what is depicted. For example, two or more steps may be performed concurrently or with partial concurrence. Also, some method steps that are performed as discrete steps may be combined, steps being performed as a combined step may be separated into discrete steps, the sequence of certain processes may be reversed or otherwise varied, and the nature or number of discrete processes may be altered or varied. The order or sequence of any element or apparatus may be varied or substituted according to alternative embodiments. Accordingly, all such modifications are intended to be included within the scope of the present disclosure.
The foregoing description of embodiments has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the subject matter to the precise form disclosed, and modifications and variations are possible in light of the above teachings or may be acquired from practice of the subject matter disclosed herein. The embodiments were chosen and described in order to explain the principals of the disclosed subject matter and its practical application to enable one skilled in the art to utilize the disclosed subject matter in various embodiments and with various modifications as are suited to the particular use contemplated. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the embodiments without departing from the scope of the presently disclosed subject matter.
Number | Name | Date | Kind |
---|---|---|---|
2416155 | Chubb | Feb 1947 | A |
2849184 | Arden et al. | Aug 1958 | A |
2929059 | Parker | Mar 1960 | A |
2930035 | Altekruse | Mar 1960 | A |
2948892 | White | Aug 1960 | A |
2965894 | Sweeney | Dec 1960 | A |
2994966 | Senitsky et al. | Aug 1961 | A |
3031660 | Young | Apr 1962 | A |
3049702 | Schreitmueller | Aug 1962 | A |
3064252 | Varela | Nov 1962 | A |
3070795 | Chambers | Dec 1962 | A |
3071766 | Fenn | Jan 1963 | A |
3072903 | Meyer | Jan 1963 | A |
3089801 | Tierney et al. | May 1963 | A |
3107351 | Milam | Oct 1963 | A |
3113310 | Standing | Dec 1963 | A |
3129425 | Sanner | Apr 1964 | A |
3153234 | Begeman et al. | Oct 1964 | A |
3175215 | Blasberg et al. | Mar 1965 | A |
3212088 | Alexander et al. | Oct 1965 | A |
3221328 | Walter | Nov 1965 | A |
3241141 | Wall | Mar 1966 | A |
3274593 | Varela et al. | Sep 1966 | A |
3325807 | Burns et al. | Jun 1967 | A |
3334344 | Colby, Jr. | Aug 1967 | A |
3339199 | Pichafroy | Aug 1967 | A |
3373423 | Levy | Mar 1968 | A |
3396391 | Anderson et al. | Aug 1968 | A |
3397397 | Barney | Aug 1968 | A |
3448450 | Alfandari et al. | Jun 1969 | A |
3618090 | Garrison | Nov 1971 | A |
3680094 | Bayle et al. | Jul 1972 | A |
3716855 | Asam | Feb 1973 | A |
3739380 | Burdic et al. | Jun 1973 | A |
3781878 | Kirkpatrick | Dec 1973 | A |
3810175 | Bell | May 1974 | A |
3815132 | Case et al. | Jun 1974 | A |
3816718 | Hall et al. | Jun 1974 | A |
3851758 | Makhijani et al. | Dec 1974 | A |
3866222 | Young | Feb 1975 | A |
3885237 | Kirkpatrick | May 1975 | A |
3956749 | Magorian | May 1976 | A |
4024537 | Hart | May 1977 | A |
4058701 | Gruber et al. | Nov 1977 | A |
4058710 | Altmann | Nov 1977 | A |
4063218 | Basov et al. | Dec 1977 | A |
4103300 | Gendreu et al. | Jul 1978 | A |
4235951 | Swarovski | Nov 1980 | A |
4277845 | Smith et al. | Jul 1981 | A |
4405986 | Gray | Sep 1983 | A |
4435707 | Clark | Mar 1984 | A |
4481519 | Margerum | Nov 1984 | A |
4509048 | Jain | Apr 1985 | A |
4532515 | Cantrell et al. | Jul 1985 | A |
4594676 | Breiholz et al. | Jun 1986 | A |
4595925 | Hansen | Jun 1986 | A |
4598292 | Devino | Jul 1986 | A |
4628318 | Alitz | Dec 1986 | A |
4646244 | Bateman et al. | Feb 1987 | A |
4649388 | Atlas | Mar 1987 | A |
4654665 | Kiuchi et al. | Mar 1987 | A |
4685149 | Smith et al. | Aug 1987 | A |
4723124 | Boles | Feb 1988 | A |
4760396 | Barney et al. | Jul 1988 | A |
4828382 | Vermilion | May 1989 | A |
4843398 | Houston et al. | Jun 1989 | A |
4912477 | Lory et al. | Mar 1990 | A |
4914436 | Bateman et al. | Apr 1990 | A |
4924401 | Bice et al. | May 1990 | A |
4939513 | Paterson et al. | Jul 1990 | A |
4951059 | Taylor, Jr. | Aug 1990 | A |
4953972 | Zuk | Sep 1990 | A |
4965573 | Gallagher et al. | Oct 1990 | A |
4987419 | Salkeld | Jan 1991 | A |
5045855 | Moreira | Sep 1991 | A |
5047779 | Hager | Sep 1991 | A |
5047781 | Bleakney | Sep 1991 | A |
5049886 | Seitz et al. | Sep 1991 | A |
5053778 | Imhoff | Oct 1991 | A |
5166688 | Moreira | Nov 1992 | A |
5173703 | Mangiapane et al. | Dec 1992 | A |
5175554 | Mangiapane et al. | Dec 1992 | A |
5198819 | Susnjara | Mar 1993 | A |
5202690 | Frederick | Apr 1993 | A |
5247303 | Cornelius et al. | Sep 1993 | A |
5273553 | Hoshi et al. | Dec 1993 | A |
5311183 | Mathews et al. | May 1994 | A |
5329391 | Miyamoto et al. | Jul 1994 | A |
5332998 | Avignon et al. | Jul 1994 | A |
5345241 | Huddle | Sep 1994 | A |
5365356 | McFadden | Nov 1994 | A |
5383457 | Cohen | Jan 1995 | A |
5442364 | Lee et al. | Aug 1995 | A |
5530440 | Danzer et al. | Jun 1996 | A |
5539409 | Mathews et al. | Jul 1996 | A |
5559515 | Alimena et al. | Sep 1996 | A |
5559518 | Didomizio | Sep 1996 | A |
5566840 | Waldner et al. | Oct 1996 | A |
5592178 | Chang et al. | Jan 1997 | A |
5678303 | Wichmann | Oct 1997 | A |
5736957 | Raney | Apr 1998 | A |
5820080 | Eschenbach | Oct 1998 | A |
5828332 | Frederick | Oct 1998 | A |
5831570 | Ammar et al. | Nov 1998 | A |
5839080 | Muller et al. | Nov 1998 | A |
5867119 | Corrubia et al. | Feb 1999 | A |
5894286 | Morand et al. | Apr 1999 | A |
5918517 | Malapert et al. | Jul 1999 | A |
5920276 | Frederick | Jul 1999 | A |
5923279 | Bamler et al. | Jul 1999 | A |
5936575 | Azzarelli et al. | Aug 1999 | A |
5942062 | Hassall et al. | Aug 1999 | A |
5945926 | Ammar et al. | Aug 1999 | A |
5950512 | Fields | Sep 1999 | A |
5959762 | Bandettini et al. | Sep 1999 | A |
5978715 | Briffe et al. | Nov 1999 | A |
6002347 | Daly et al. | Dec 1999 | A |
6023240 | Sutton | Feb 2000 | A |
6061016 | Lupinski et al. | May 2000 | A |
6061022 | Menegozzi et al. | May 2000 | A |
6064942 | Johnson et al. | May 2000 | A |
6075484 | Daniel et al. | Jun 2000 | A |
6092009 | Glover | Jul 2000 | A |
6112141 | Briffe et al. | Aug 2000 | A |
6112570 | Hruschak | Sep 2000 | A |
6122570 | Muller et al. | Sep 2000 | A |
6127944 | Daly et al. | Oct 2000 | A |
6128066 | Yokozeki | Oct 2000 | A |
6128553 | Gordon et al. | Oct 2000 | A |
6138060 | Conner et al. | Oct 2000 | A |
6150901 | Auken | Nov 2000 | A |
6154151 | McElreath et al. | Nov 2000 | A |
6154169 | Kuntman | Nov 2000 | A |
6157339 | Sato et al. | Dec 2000 | A |
6157891 | Lin | Dec 2000 | A |
6163021 | Mickelson | Dec 2000 | A |
6166661 | Anderson et al. | Dec 2000 | A |
6169770 | Henely | Jan 2001 | B1 |
6178391 | Anderson et al. | Jan 2001 | B1 |
6184816 | Zheng et al. | Feb 2001 | B1 |
6188330 | Glover | Feb 2001 | B1 |
6194980 | Thon | Feb 2001 | B1 |
6199008 | Aratow et al. | Mar 2001 | B1 |
6201494 | Kronfeld | Mar 2001 | B1 |
6204806 | Hoech | Mar 2001 | B1 |
6205400 | Lin | Mar 2001 | B1 |
6208284 | Woodell et al. | Mar 2001 | B1 |
6219592 | Muller et al. | Apr 2001 | B1 |
6233522 | Morici | May 2001 | B1 |
6236351 | Conner et al. | May 2001 | B1 |
6259400 | Higgins et al. | Jul 2001 | B1 |
6266114 | Skarohlid | Jul 2001 | B1 |
6278799 | Hoffman | Aug 2001 | B1 |
6281832 | McElreath | Aug 2001 | B1 |
6285298 | Gordon | Sep 2001 | B1 |
6285337 | West et al. | Sep 2001 | B1 |
6285926 | Weiler et al. | Sep 2001 | B1 |
6289277 | Feyereisen et al. | Sep 2001 | B1 |
6311108 | Ammar et al. | Oct 2001 | B1 |
6317468 | Meyer | Nov 2001 | B1 |
6317690 | Gia | Nov 2001 | B1 |
6317872 | Gee et al. | Nov 2001 | B1 |
6340946 | Wolfson et al. | Jan 2002 | B1 |
6345127 | Mitchell | Feb 2002 | B1 |
6359585 | Bechman et al. | Mar 2002 | B1 |
6366013 | Leenders et al. | Apr 2002 | B1 |
6373418 | Abbey | Apr 2002 | B1 |
6374286 | Gee et al. | Apr 2002 | B1 |
6377202 | Kropfli et al. | Apr 2002 | B1 |
6377892 | Johnson et al. | Apr 2002 | B1 |
6388607 | Woodell | May 2002 | B1 |
6388608 | Woodell et al. | May 2002 | B1 |
6388724 | Campbell et al. | May 2002 | B1 |
6389354 | Hicks et al. | May 2002 | B1 |
6401038 | Gia | Jun 2002 | B2 |
6411890 | Zimmerman | Jun 2002 | B1 |
6421000 | McDowell | Jul 2002 | B1 |
6421603 | Pratt et al. | Jul 2002 | B1 |
6424288 | Woodell | Jul 2002 | B1 |
6426717 | Maloratsky | Jul 2002 | B1 |
6426720 | Ross et al. | Jul 2002 | B1 |
6427122 | Lin | Jul 2002 | B1 |
6441773 | Kelly et al. | Aug 2002 | B1 |
6445310 | Bateman et al. | Sep 2002 | B1 |
6448922 | Kelly | Sep 2002 | B1 |
6452511 | Kelly et al. | Sep 2002 | B1 |
6456236 | Hauck et al. | Sep 2002 | B1 |
6456238 | Posey | Sep 2002 | B1 |
6462703 | Hedrick | Oct 2002 | B2 |
6473026 | Ali-Mehenni et al. | Oct 2002 | B1 |
6473037 | Vail et al. | Oct 2002 | B2 |
6473240 | Dehmlow | Oct 2002 | B1 |
6481482 | Shimotomai | Nov 2002 | B1 |
6492934 | Hwang et al. | Dec 2002 | B1 |
6501424 | Haendel et al. | Dec 2002 | B1 |
6512476 | Woodell | Jan 2003 | B1 |
6512527 | Barber et al. | Jan 2003 | B1 |
6516272 | Lin | Feb 2003 | B2 |
6516283 | McCall et al. | Feb 2003 | B2 |
6520056 | Nemeth et al. | Feb 2003 | B1 |
6525674 | Kelly et al. | Feb 2003 | B1 |
6531669 | Miller et al. | Mar 2003 | B1 |
6549161 | Woodell | Apr 2003 | B1 |
6567728 | Kelly et al. | May 2003 | B1 |
6574030 | Mosier | Jun 2003 | B1 |
6577947 | Kronfeld et al. | Jun 2003 | B1 |
6590528 | Dewulf | Jul 2003 | B1 |
6591171 | Ammar et al. | Jul 2003 | B1 |
6593875 | Bergin et al. | Jul 2003 | B2 |
6600443 | Landt | Jul 2003 | B2 |
6603425 | Woodell | Aug 2003 | B1 |
6614057 | Silvernail et al. | Sep 2003 | B2 |
6650275 | Kelly et al. | Nov 2003 | B1 |
6650291 | West et al. | Nov 2003 | B1 |
6653947 | Dwyer et al. | Nov 2003 | B2 |
6667710 | Cornell et al. | Dec 2003 | B2 |
6681668 | Smirle | Jan 2004 | B1 |
6690298 | Barber et al. | Feb 2004 | B1 |
6690299 | Suiter | Feb 2004 | B1 |
6690317 | Szeto et al. | Feb 2004 | B2 |
6697008 | Sternowski | Feb 2004 | B1 |
6697012 | Lodwig et al. | Feb 2004 | B2 |
6710663 | Berquist | Mar 2004 | B1 |
6714186 | Mosier et al. | Mar 2004 | B1 |
6720890 | Ezroni et al. | Apr 2004 | B1 |
6724344 | Stockmaster et al. | Apr 2004 | B1 |
6731236 | Hager et al. | May 2004 | B1 |
6738011 | Evans | May 2004 | B1 |
6739929 | Furukawa et al. | May 2004 | B2 |
6741203 | Woodell | May 2004 | B1 |
6741208 | West et al. | May 2004 | B1 |
6744382 | Lapis et al. | Jun 2004 | B1 |
6744408 | Stockmaster | Jun 2004 | B1 |
6757624 | Hwang et al. | Jun 2004 | B1 |
6760155 | Murayama et al. | Jul 2004 | B2 |
6771626 | Golubiewski et al. | Aug 2004 | B1 |
6782392 | Weinberger et al. | Aug 2004 | B1 |
6799095 | Owen et al. | Sep 2004 | B1 |
6803245 | Auch et al. | Oct 2004 | B2 |
6804614 | McGraw et al. | Oct 2004 | B1 |
6806846 | West | Oct 2004 | B1 |
6807538 | Weinberger et al. | Oct 2004 | B1 |
6813777 | Weinberger et al. | Nov 2004 | B1 |
6819983 | McGraw | Nov 2004 | B1 |
6822617 | Mather et al. | Nov 2004 | B1 |
6825804 | Doty | Nov 2004 | B1 |
6832538 | Hwang | Dec 2004 | B1 |
6839017 | Dillman | Jan 2005 | B1 |
6842288 | Liu et al. | Jan 2005 | B1 |
6850185 | Woodell | Feb 2005 | B1 |
6862323 | Loper | Mar 2005 | B1 |
6862501 | He | Mar 2005 | B2 |
6865452 | Burdon | Mar 2005 | B2 |
6879280 | Bull et al. | Apr 2005 | B1 |
6879886 | Wilkins et al. | Apr 2005 | B2 |
6882302 | Woodell et al. | Apr 2005 | B1 |
6908202 | Graf et al. | Jun 2005 | B2 |
6917396 | Hiraishi et al. | Jul 2005 | B2 |
6918134 | Sherlock et al. | Jul 2005 | B1 |
6933885 | Stockmaster et al. | Aug 2005 | B1 |
6938258 | Weinberger et al. | Aug 2005 | B1 |
6950062 | Mather et al. | Sep 2005 | B1 |
6959057 | Tuohino | Oct 2005 | B1 |
6972727 | West et al. | Dec 2005 | B1 |
6977608 | Anderson et al. | Dec 2005 | B1 |
6984545 | Grigg et al. | Jan 2006 | B2 |
6990022 | Morikawa et al. | Jan 2006 | B2 |
6992614 | Joyce | Jan 2006 | B1 |
6995726 | West et al. | Feb 2006 | B1 |
6998648 | Silvernail | Feb 2006 | B2 |
6998908 | Sternowski | Feb 2006 | B1 |
6999022 | Vesel et al. | Feb 2006 | B1 |
6999027 | Stockmaster | Feb 2006 | B1 |
7002546 | Stuppi et al. | Feb 2006 | B1 |
7010398 | Wilkins et al. | Mar 2006 | B2 |
7023375 | Klausing et al. | Apr 2006 | B2 |
7026956 | Wenger et al. | Apr 2006 | B1 |
7028304 | Weinberger et al. | Apr 2006 | B1 |
7030945 | Umemoto et al. | Apr 2006 | B2 |
7034753 | Elsallal et al. | Apr 2006 | B1 |
7042387 | Ridenour et al. | May 2006 | B2 |
7053796 | Barber | May 2006 | B1 |
7057549 | Block | Jun 2006 | B2 |
7064680 | Reynolds et al. | Jun 2006 | B2 |
7069120 | Koenck et al. | Jun 2006 | B1 |
7089092 | Wood et al. | Aug 2006 | B1 |
7092645 | Sternowski | Aug 2006 | B1 |
7098913 | Etherington et al. | Aug 2006 | B1 |
7109912 | Paramore et al. | Sep 2006 | B1 |
7109913 | Paramore et al. | Sep 2006 | B1 |
7123260 | Brust | Oct 2006 | B2 |
7129885 | Woodell et al. | Oct 2006 | B1 |
7145501 | Manfred et al. | Dec 2006 | B1 |
7148816 | Carrico | Dec 2006 | B1 |
7151507 | Herting | Dec 2006 | B1 |
7158072 | Venkatachalam et al. | Jan 2007 | B1 |
7161525 | Finley et al. | Jan 2007 | B1 |
7170446 | West et al. | Jan 2007 | B1 |
7170959 | Abbey | Jan 2007 | B1 |
7180476 | Guell et al. | Feb 2007 | B1 |
7191406 | Barber et al. | Mar 2007 | B1 |
7196329 | Wood et al. | Mar 2007 | B1 |
7205933 | Snodgrass | Apr 2007 | B1 |
7209070 | Gilliland et al. | Apr 2007 | B2 |
7212216 | He et al. | May 2007 | B2 |
7218268 | Vandenberg | May 2007 | B2 |
7219011 | Barber | May 2007 | B1 |
7242343 | Woodell | Jul 2007 | B1 |
7242345 | Raestad et al. | Jul 2007 | B2 |
7250903 | McDowell | Jul 2007 | B1 |
7265710 | Deagro | Sep 2007 | B2 |
7269657 | Alexander et al. | Sep 2007 | B1 |
7272472 | McElreath | Sep 2007 | B1 |
7273403 | Yokota et al. | Sep 2007 | B2 |
7280068 | Lee et al. | Oct 2007 | B2 |
7289058 | Shima | Oct 2007 | B2 |
7292178 | Woodell et al. | Nov 2007 | B1 |
7292180 | Schober | Nov 2007 | B2 |
7295150 | Burlet et al. | Nov 2007 | B2 |
7295901 | Little et al. | Nov 2007 | B1 |
7301496 | Honda et al. | Nov 2007 | B2 |
7307576 | Koenigs | Dec 2007 | B1 |
7307577 | Kronfeld et al. | Dec 2007 | B1 |
7307583 | Woodell et al. | Dec 2007 | B1 |
7312725 | Berson et al. | Dec 2007 | B2 |
7312743 | Ridenour et al. | Dec 2007 | B2 |
7317427 | Pauplis et al. | Jan 2008 | B2 |
7321332 | Focke et al. | Jan 2008 | B2 |
7337043 | Bull | Feb 2008 | B2 |
7349154 | Aiura et al. | Mar 2008 | B2 |
7352292 | Alter et al. | Apr 2008 | B2 |
7361240 | Kim | Apr 2008 | B2 |
7372394 | Woodell et al. | May 2008 | B1 |
7373223 | Murphy | May 2008 | B2 |
7375678 | Feyereisen et al. | May 2008 | B2 |
7379014 | Woodell et al. | May 2008 | B1 |
7379796 | Walsdorf et al. | May 2008 | B2 |
7381110 | Sampica et al. | Jun 2008 | B1 |
7417578 | Woodell et al. | Aug 2008 | B1 |
7417579 | Woodell | Aug 2008 | B1 |
7423578 | Tietjen | Sep 2008 | B1 |
7446697 | Burlet et al. | Nov 2008 | B2 |
7446938 | Miyatake et al. | Nov 2008 | B2 |
7452258 | Marzen et al. | Nov 2008 | B1 |
7474262 | Alland | Jan 2009 | B2 |
7479920 | Niv | Jan 2009 | B2 |
7486220 | Kronfeld et al. | Feb 2009 | B1 |
7486291 | Berson et al. | Feb 2009 | B2 |
7492304 | Woodell et al. | Feb 2009 | B1 |
7492305 | Woodell et al. | Feb 2009 | B1 |
7515069 | Dorneich | Apr 2009 | B2 |
7515087 | Woodell et al. | Apr 2009 | B1 |
7515088 | Woodell et al. | Apr 2009 | B1 |
7525448 | Wilson et al. | Apr 2009 | B1 |
7528765 | Woodell et al. | May 2009 | B1 |
7528915 | Choi et al. | May 2009 | B2 |
7541970 | Godfrey et al. | Jun 2009 | B1 |
7541971 | Woodell et al. | Jun 2009 | B1 |
7551451 | Kim et al. | Jun 2009 | B2 |
7557735 | Woodell et al. | Jul 2009 | B1 |
7566254 | Sampica et al. | Jul 2009 | B2 |
7570177 | Reynolds et al. | Aug 2009 | B2 |
7576680 | Woodell | Aug 2009 | B1 |
7603209 | Dwyer et al. | Oct 2009 | B2 |
7609200 | Woodell et al. | Oct 2009 | B1 |
7612706 | Honda et al. | Nov 2009 | B2 |
7616150 | Woodell | Nov 2009 | B1 |
7633428 | McCusker et al. | Dec 2009 | B1 |
7633430 | Wichgers et al. | Dec 2009 | B1 |
7633584 | Umemoto et al. | Dec 2009 | B2 |
7639175 | Woodell | Dec 2009 | B1 |
7664601 | Daly, Jr. | Feb 2010 | B2 |
7675461 | McCusker et al. | Mar 2010 | B1 |
7693621 | Chamas | Apr 2010 | B1 |
7696921 | Finley et al. | Apr 2010 | B1 |
7714767 | Kronfeld et al. | May 2010 | B1 |
7733264 | Woodell et al. | Jun 2010 | B1 |
7783427 | Woodell et al. | Aug 2010 | B1 |
7783429 | Walden et al. | Aug 2010 | B2 |
7791529 | Filias et al. | Sep 2010 | B2 |
7808422 | Woodell et al. | Oct 2010 | B1 |
7814676 | Sampica et al. | Oct 2010 | B2 |
7843380 | Woodell | Nov 2010 | B1 |
7859448 | Woodell et al. | Dec 2010 | B1 |
7859449 | Woodell et al. | Dec 2010 | B1 |
7864103 | Weber et al. | Jan 2011 | B2 |
7868811 | Woodell et al. | Jan 2011 | B1 |
7872594 | Vesel | Jan 2011 | B1 |
7889117 | Woodell et al. | Feb 2011 | B1 |
7889118 | Finley et al. | Feb 2011 | B1 |
7927440 | Matsuhira | Apr 2011 | B2 |
7929086 | Toyama et al. | Apr 2011 | B2 |
7965223 | McCusker | Jun 2011 | B1 |
7965225 | Dickerson et al. | Jun 2011 | B1 |
8035547 | Flanigan et al. | Oct 2011 | B1 |
8038498 | Miyauchi et al. | Oct 2011 | B2 |
8045098 | Kitagawa et al. | Oct 2011 | B2 |
8059025 | D'Addio | Nov 2011 | B2 |
8068984 | Smith et al. | Nov 2011 | B2 |
8072368 | Woodell | Dec 2011 | B1 |
8077078 | Woodell et al. | Dec 2011 | B1 |
8077081 | Bateman | Dec 2011 | B2 |
8102487 | Kitagawa et al. | Jan 2012 | B2 |
8118075 | Sampica et al. | Feb 2012 | B2 |
8137498 | Sampica et al. | Mar 2012 | B2 |
8140223 | Whitehead et al. | Mar 2012 | B2 |
8159464 | Gribble et al. | Apr 2012 | B1 |
8232917 | Scherzinger et al. | Jul 2012 | B2 |
8289202 | Christianson | Oct 2012 | B1 |
8296065 | Haynie et al. | Oct 2012 | B2 |
8373580 | Bunch et al. | Feb 2013 | B2 |
8410975 | Bell et al. | Apr 2013 | B1 |
8477062 | Kanellis | Jul 2013 | B1 |
8486535 | Nemeth et al. | Jul 2013 | B1 |
8493241 | He | Jul 2013 | B2 |
8515600 | McCusker | Aug 2013 | B1 |
8540002 | Sampica et al. | Sep 2013 | B2 |
8558731 | Woodell | Oct 2013 | B1 |
8576112 | Garrec et al. | Nov 2013 | B2 |
8583315 | Whitehead et al. | Nov 2013 | B2 |
8594879 | Roberge et al. | Nov 2013 | B2 |
8603288 | Sampica et al. | Dec 2013 | B2 |
8634993 | McClure et al. | Jan 2014 | B2 |
8639416 | Jones et al. | Jan 2014 | B2 |
8643533 | Woodell et al. | Feb 2014 | B1 |
8691043 | Sampica et al. | Apr 2014 | B2 |
8717226 | Bon et al. | May 2014 | B2 |
8755954 | McCusker et al. | Jun 2014 | B1 |
8773301 | Woodell | Jul 2014 | B1 |
8847794 | Buratto | Sep 2014 | B2 |
8896480 | Wilson et al. | Nov 2014 | B1 |
8909471 | Jinkins et al. | Dec 2014 | B1 |
8917191 | Tiana et al. | Dec 2014 | B1 |
8936057 | Sampica et al. | Jan 2015 | B2 |
8976042 | Chiew et al. | Mar 2015 | B1 |
8977491 | McCusker et al. | Mar 2015 | B1 |
9024805 | Jinkins et al. | May 2015 | B1 |
9354633 | McCusker et al. | May 2016 | B1 |
20010023390 | Gia | Sep 2001 | A1 |
20010050372 | Krijn et al. | Dec 2001 | A1 |
20010053648 | Furukawa et al. | Dec 2001 | A1 |
20020039070 | Ververs et al. | Apr 2002 | A1 |
20020111717 | Scherzinger et al. | Aug 2002 | A1 |
20020116125 | Lin | Aug 2002 | A1 |
20020116126 | Lin | Aug 2002 | A1 |
20020158256 | Yamada et al. | Oct 2002 | A1 |
20020179229 | Chuzles | Dec 2002 | A1 |
20020185600 | Kerr | Dec 2002 | A1 |
20020187284 | Kinoshita et al. | Dec 2002 | A1 |
20030021491 | Brust | Jan 2003 | A1 |
20030038916 | Nakano et al. | Feb 2003 | A1 |
20030043315 | Umemoto et al. | Mar 2003 | A1 |
20030071828 | Wilkins et al. | Apr 2003 | A1 |
20030089214 | Fukuta et al. | May 2003 | A1 |
20030093187 | Walker | May 2003 | A1 |
20030102999 | Bergin et al. | Jun 2003 | A1 |
20030156238 | Hiraishi et al. | Aug 2003 | A1 |
20030160718 | Nagasaku | Aug 2003 | A1 |
20030174396 | Murayama et al. | Sep 2003 | A1 |
20030180528 | Flosenzier et al. | Sep 2003 | A1 |
20030189606 | Moon et al. | Oct 2003 | A1 |
20030195672 | He | Oct 2003 | A1 |
20030216859 | Martell et al. | Nov 2003 | A1 |
20030222887 | Wilkins et al. | Dec 2003 | A1 |
20040044445 | Burdon | Mar 2004 | A1 |
20040059473 | He | Mar 2004 | A1 |
20040066645 | Graf et al. | Apr 2004 | A1 |
20040072575 | Young et al. | Apr 2004 | A1 |
20040083038 | He | Apr 2004 | A1 |
20040145499 | Schmidt et al. | Jul 2004 | A1 |
20040160341 | Feyereisen et al. | Aug 2004 | A1 |
20040160364 | Regev | Aug 2004 | A1 |
20040181318 | Redmond et al. | Sep 2004 | A1 |
20040264549 | Hoole | Dec 2004 | A1 |
20050004748 | Pinto et al. | Jan 2005 | A1 |
20050052451 | Servantie | Mar 2005 | A1 |
20050073455 | Chow et al. | Apr 2005 | A1 |
20050126679 | Kim | Jun 2005 | A1 |
20050136625 | Henseler et al. | Jun 2005 | A1 |
20050150289 | Osborne | Jul 2005 | A1 |
20050174350 | Ridenour et al. | Aug 2005 | A1 |
20050200502 | Reusser et al. | Sep 2005 | A1 |
20050225481 | Bonthron | Oct 2005 | A1 |
20050230563 | Corcoran, III | Oct 2005 | A1 |
20060004497 | Bull | Jan 2006 | A1 |
20060097895 | Reynolds et al. | May 2006 | A1 |
20060098452 | Choi et al. | May 2006 | A1 |
20060164284 | Pauplis et al. | Jul 2006 | A1 |
20060207967 | Bocko et al. | Sep 2006 | A1 |
20060215265 | Miyatake et al. | Sep 2006 | A1 |
20060227012 | He | Oct 2006 | A1 |
20060244636 | Rye et al. | Nov 2006 | A1 |
20060245171 | Kim et al. | Nov 2006 | A1 |
20060290253 | Yeo et al. | Dec 2006 | A1 |
20060290531 | Reynolds et al. | Dec 2006 | A1 |
20070001897 | Alland | Jan 2007 | A1 |
20070002078 | He et al. | Jan 2007 | A1 |
20070008214 | Wasiewicz | Jan 2007 | A1 |
20070013575 | Lee et al. | Jan 2007 | A1 |
20070018887 | Feyereisen et al. | Jan 2007 | A1 |
20070032951 | Tanenhaus et al. | Feb 2007 | A1 |
20070060063 | Wright et al. | Mar 2007 | A1 |
20070146364 | Aspen | Jun 2007 | A1 |
20070171094 | Alter et al. | Jul 2007 | A1 |
20070176794 | Feyereisen et al. | Aug 2007 | A1 |
20070179684 | He | Aug 2007 | A1 |
20070228586 | Merrill et al. | Oct 2007 | A1 |
20070247350 | Ryan | Oct 2007 | A1 |
20070279253 | Priest | Dec 2007 | A1 |
20070297736 | Sherman et al. | Dec 2007 | A1 |
20080018524 | Christianson | Jan 2008 | A1 |
20080051947 | Kemp | Feb 2008 | A1 |
20080074308 | Becker et al. | Mar 2008 | A1 |
20080111731 | Hubbard et al. | May 2008 | A1 |
20080145610 | Muller et al. | Jun 2008 | A1 |
20080180351 | He | Jul 2008 | A1 |
20080305721 | Ohashi et al. | Dec 2008 | A1 |
20090021397 | Wipf et al. | Jan 2009 | A1 |
20090040070 | Alter et al. | Feb 2009 | A1 |
20090040772 | Laney | Feb 2009 | A1 |
20090046229 | Umemoto et al. | Feb 2009 | A1 |
20090148682 | Higuchi | Jun 2009 | A1 |
20090152391 | McWhirk | Jun 2009 | A1 |
20090153783 | Umemoto | Jun 2009 | A1 |
20090164067 | Whitehead et al. | Jun 2009 | A1 |
20090207048 | He et al. | Aug 2009 | A1 |
20090279030 | Toyama et al. | Nov 2009 | A1 |
20090279175 | Laney et al. | Nov 2009 | A1 |
20100033499 | Gannon et al. | Feb 2010 | A1 |
20100103353 | Yamada | Apr 2010 | A1 |
20100297406 | Schaffer et al. | Nov 2010 | A1 |
20100312428 | Roberge et al. | Dec 2010 | A1 |
20100312461 | Haynie et al. | Dec 2010 | A1 |
20110037616 | Leutelt et al. | Feb 2011 | A1 |
20110054729 | Whitehead et al. | Mar 2011 | A1 |
20110075070 | Kitagawa et al. | Mar 2011 | A1 |
20110141405 | Kitagawa et al. | Jun 2011 | A1 |
20110165361 | Sherman et al. | Jul 2011 | A1 |
20110184594 | Manfred et al. | Jul 2011 | A1 |
20110273325 | Goldman | Nov 2011 | A1 |
20110282580 | Mohan | Nov 2011 | A1 |
20110304479 | Chen et al. | Dec 2011 | A1 |
20120053831 | Halder | Mar 2012 | A1 |
20120133546 | Reiter | May 2012 | A1 |
20120150426 | Conway | Jun 2012 | A1 |
20120174445 | Jones et al. | Jul 2012 | A1 |
20120176497 | Shadmi | Jul 2012 | A1 |
20120215410 | McClure et al. | Aug 2012 | A1 |
20130041529 | He et al. | Feb 2013 | A1 |
20130234884 | Bunch et al. | Sep 2013 | A1 |
20130285847 | Ward | Oct 2013 | A1 |
20140009324 | Ranney et al. | Jan 2014 | A1 |
20150211883 | He | Jul 2015 | A1 |
20160131739 | Jinkins et al. | May 2016 | A1 |
Number | Date | Country |
---|---|---|
19649838 | Apr 1998 | DE |
19949737 | Apr 2001 | DE |
0 556 351 | Jun 1995 | EP |
0 962 752 | Dec 1999 | EP |
814 744 | Jun 1959 | GB |
1 092 821 | Nov 1967 | GB |
01-210328 | Aug 1989 | JP |
05-200880 | Aug 1993 | JP |
05-293895 | Nov 1993 | JP |
06-051484 | Feb 1994 | JP |
H08-220547 | Aug 1996 | JP |
09-057779 | Mar 1997 | JP |
10-156853 | Jun 1998 | JP |
10-244589 | Sep 1998 | JP |
2000-141388 | May 2000 | JP |
2004-233590 | Aug 2004 | JP |
2004-354645 | Dec 2004 | JP |
2006-218658 | Aug 2006 | JP |
2006-334912 | Dec 2006 | JP |
2006-348208 | Dec 2006 | JP |
2007-206559 | Aug 2007 | JP |
2008-238607 | Jan 2008 | JP |
WO-9305634 | Mar 1993 | WO |
WO-2009133102 | Nov 2009 | WO |
WO-2011089474 | Jul 2011 | WO |
Entry |
---|
English Translation of Japanese Notice of Reasons for Rejection in Japanese Application No. 2016-001165, dated Apr. 25, 2017, 1 page. |
First Office Action with English Translation of Chinese Application No. 201510005057.5, dated Apr. 25, 2017, 8 pages. |
U.S. Notice of Allowance on U.S. Appl. No. 14/482,681 dated May 1, 2017. |
U.S. Office Action on U.S. Appl. No. 14/536,330 dated Aug. 11, 2017. |
U.S. Appl. No. 15/222,923, filed Jul. 28, 2016, Rockwell Collins, Inc. |
Final Office Action on U.S. Appl. No. 14/536,330, dated Jan. 23, 2017, 14 pages. |
Non-Final Office Action on U.S. Appl. No. 13/250,798, dated Sep. 9, 2016, 6 pages. |
Non-Final Office Action on U.S. Appl. No. 14/482,681, dated Dec. 20, 2016, 9 pages. |
Corrected Notice of Allowability on U.S. Appl. No. 13/250,798, dated Jan. 12, 2017, 2 pages. |
Notice of Allowance for U.S. Appl. No. 14/536,330 dated Dec. 13, 2017. 7 pages. |
U.S. Appl. No. 11/851,323, filed Sep. 6, 2007, McCusker. |
U.S. Appl. No. 11/863,219, filed Sep. 27, 2007, Woodell. |
U.S. Appl. No. 11/863,221, filed Sep. 27, 2007, Woodell. |
U.S. Appl. No. 11/899,801, filed Sep. 6, 2007, Woodell et al. |
U.S. Appl. No. 11/900,002, filed Sep. 6, 2007, Woodell et al. |
U.S. Appl. No. 12/167,200, filed Jul. 2, 2008, Woodell et al. |
U.S. Appl. No. 12/167,203, filed Jul. 2, 2008, Woodell. |
U.S. Appl. No. 12/167,208, filed Jul. 2, 2008, Dickerson et al. |
U.S. Appl. No. 12/180,293, filed Jul. 25, 2008, Woodell et al. |
U.S. Appl. No. 12/236,464, filed Sep. 23, 2008, Rockwell Collins. |
U.S. Appl. No. 12/786,169, filed May 24, 2010, Nemeth et al. |
U.S. Appl. No. 13/224,992, filed Sep. 2, 2011, Hufnagel et al. |
U.S. Appl. No. 13/250,307, filed Sep. 30, 2011, Jinkins. |
U.S. Appl. No. 13/250,798, filed Sep. 30, 2011, Jinkins. |
U.S. Appl. No. 13/627,788, filed Sep. 26, 2012, Rockwell Collins. |
U.S. Appl. No. 13/857,955, filed Apr. 5, 2013, Barber et al. |
“MountainScope™ on a TabletPC,” PCAvionics™, 2007, printed from website www.pcavionics.com on Aug. 28, 2007, 1 page. |
TAWS Class A and Class B, Terrain Awareness and Warning Systems, Universal® Avionics Systems Corporation, Sep. 2007, 6 pages. |
U.S. Appl. No. 14/301,199, filed Jun. 10, 2014, Rockwell Collins. |
U.S. Appl. No. 14/482,681, filed Sep. 10, 2014, Rockwell Collins. |
U.S. Appl. No. 14/841,558, filed Aug. 31, 2015, Rockwell Collins, Inc. |
“TAWS Terrain Awareness and Warning System,” Universal® Avionics, 2006, printed from website www.uasc.com on Aug. 28, 2007, 2 pages. |
Adams, Charlotte, “Synthetic Vision: Picturing the Future,” Avionics magazine, Oct. 1, 2006, printed from website www.aviationtoday.com, 4 pages. |
Adams, Charlotte, “Synthetic Vision: Picturing the Future,” Avionics magazine, Solutions for Global Airspace Electronics, Oct. 2006, cover and pp. 22-29. |
Airports Authority of India, Chapter 7: Visual Aids for Navigation—Lights, available prior to Jan. 1, 2005, retrieved from the internet at: http://www.aai.aero/aai_employees/chapter_7.pdf on Sep. 26, 2014, 33 pages. |
Blue Mountain Avionics' Products, 2007, printed from website www.bluemountainavionics.com on Aug. 28, 2007, 4 pages. |
Brailovsky et al., REVS122: A Radar-Based Enhanced Vision System for Degraded Visual Environments, Proc. of SPIE vol. 9087 908708-1, Jun. 19, 2014, retrieved from the internet at http://proceedings.spiedigitallibrary.org on Jun. 25, 2014, 13 pages. |
Carter, S. P., D. D. Blankenship, M. E. Peters, D. A. Young, J. W. Holt, and D. L. Morse (2007), Radar-based subglacial lake classification in Antarctica, Geochem. Geophys. Geosyst., 8, 003016, doi:10.1029/2006GC001408, 20 pages. |
Federal Aviation Administration, Advisory Circular AC 90-106, “Enhanced Flight Vision Systems”, initiated by AFS-400, dated Jun. 2, 2010, 55 pages. |
Federal Aviation Administration, Aeronautical Information Manual (AIM) Basic Flight Information and ATC Procedures, dated Jul. 24, 2014, 2 pages. |
Final Office Action on U.S. Appl. No. 13/250,798 dated Sep. 4, 2014, 22 pages. |
Final Office Action on U.S. Appl. No. 13/867,556 dated Jul. 3, 2014, 11 pages. |
Final Office Action on U.S. Appl. No. 13/250,307 dated Jun. 11, 2014, 8 pages. |
Final Office Action on U.S. Appl. No. 13/250,798 dated Aug. 7, 2015, 21 pages. |
Fountain, J.R., Digital Terrain Systems, Airborne Navigation Systems Workshop (Digest No. 1997/169), IEE Colloquium, pp. 4/1-4/6, Feb. 21, 1997. |
G2000, Garmin, printed from website https://buy.garmin.com/shop/shop.do?cID=153&pID=97668 on Jun. 28, 2011, 2 pages. |
G3000, Garmin, printed from website https://buy.garmin.com/shop/shop.do?cID=153&pID=66916 on Jun. 28, 2011, 2 pages. |
G5000, Garmin, printed from website https://buy.garmin.com/shop/shop.do?cID=153&pID=90821&ra=true on Apr. 20, 2011, 2 pages. |
Honeywell, RDR-4B Forward looking windshear detection / weather radar system user's manual with radar operating guidelines, Rev. 6, Jul. 2003, 106 pages. |
Johnson, A., et al., Vision Guided Landing of an Autonomous Helicopter in Hazardous Terrain, Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference, pp. 3966-3971, Apr. 18-22, 2005. |
Kuntman, D., Airborne system to address leading cause of injuries in non-fatal airline accidents, ICAO Journal, Mar. 2000, 4 pages. |
McGray et al., Air Operators, Airlines, Manufacturers and Interested Industry Stakeholders & Aero Chart Forum-Utilizing EFVS technology and incorporating it into FAA NextGen, Federal Aviation Administration, Apr. 23 & 30, 2014, 34 pages. |
Non-Final Office Action on U.S. Appl. No. 13/250,798 dated Feb. 26, 2016, 9 pages. |
Non-Final Office Action on U.S. Appl. No. 13/250,798 dated Mar. 18, 2015, 21 pages. |
Non-Final Office Action on U.S. Appl. No. 14/301,199 dated Sep. 9, 2015, 18 pages. |
Non-Final Office Action on U.S. Appl. No. 14/536,330 dated Jul. 13, 2016, 12 pages. |
Notice of Allowance for U.S. Appl. No. 11/863,215, dated Oct. 13, 2009, 8 pages. |
Notice of Allowance for U.S. Appl. No. 11/863,219, dated Jun. 23, 2009, 7 pages. |
Notice of Allowance for U.S. Appl. No. 11/863,221, dated Aug. 2, 2010, 9 pages. |
Notice of Allowance for U.S. Appl. No. 11/899,801, dated Aug. 19, 2010, 5 pages. |
Notice of Allowance for U.S. Appl. No. 11/900,002, dated Sep. 14, 2010, 5 pages. |
Notice of Allowance for U.S. Appl. No. 12/009,372, dated Oct. 13, 2011, 8 pages. |
Notice of Allowance for U.S. Appl. No. 12/009,373, dated Jun. 16, 2010, 4 pages. |
Notice of Allowance for U.S. Appl. No. 12/009,472, dated Sep. 5, 2013, 8 pages. |
Notice of Allowance for U.S. Appl. No. 12/167,200, dated Oct. 28, 2010, 5 pages. |
Notice of Allowance for U.S. Appl. No. 12/167,203, dated Jun. 21, 2013, 7 pages. |
Notice of Allowance for U.S. Appl. No. 12/167,208, dated Mar. 21, 2011, 8 pages. |
Notice of Allowance for U.S. Appl. No. 12/180,293, dated Aug. 4, 2011, 8 pages. |
Notice of Allowance for U.S. Appl. No. 12/786,169, dated Mar. 28, 2013, 6 pages. |
Notice of Allowance for U.S. Appl. No. 13/538,957, dated Oct. 3, 2013, 13 pages. |
Notice of Allowance on U.S. Appl. No. 12/263,282 dated Jan. 29, 2016, 8 pages. |
Notice of Allowance on U.S. Appl. No. 13/241,051 dated Aug. 28, 2014, 9 pages. |
Notice of Allowance on U.S. Appl. No. 13/247,742 dated Jul. 30, 2014, 9 pages. |
Notice of Allowance on U.S. Appl. No. 14/301,199 dated Mar. 1, 2016, 11 pages. |
Office Action for U.S. Appl. No. 11/851,323, dated Dec. 15, 2010, 13 pages. |
Office Action for U.S. Appl. No. 11/851,323, dated Aug. 6, 2009, 23 pages. |
Office Action for U.S. Appl. No. 11/851,323, dated Jul. 5, 2012, 23 pages. |
Office Action for U.S. Appl. No. 11/863,215, dated May 27, 2009, 5 pages. |
Office Action for U.S. Appl. No. 11/863,215, dated Nov. 12, 2008, 8 pages. |
Office Action for U.S. Appl. No. 11/863,219, dated Dec. 12, 2008, 7 pages. |
Office Action for U.S. Appl. No. 11/863,221, dated Dec. 18, 2009, 5 pages. |
Office Action for U.S. Appl. No. 11/863,221, dated Dec. 8, 2008, 8 pages. |
Office Action for U.S. Appl. No. 11/863,221, dated May 26, 2009, 5 pages. |
Office Action for U.S. Appl. No. 12/009,372, dated Dec. 20, 2010, 10 pages. |
Office Action for U.S. Appl. No. 12/009,372, dated Jun. 13, 2011, 9 pages. |
Office Action for U.S. Appl. No. 12/009,373, dated Dec. 30, 2009, 14 pages. |
Office Action for U.S. Appl. No. 12/009,472, dated Apr. 16, 2012, 16 pages. |
Office Action for U.S. Appl. No. 12/009,472, dated Jan. 14, 2011, 14 pages. |
Office Action for U.S. Appl. No. 12/009,472, dated Mar. 20, 2013, 15 pages. |
Office Action for U.S. Appl. No. 12/009,472, dated Nov. 3, 2011, 15 pages. |
Office Action for U.S. Appl. No. 12/009,472, dated Nov. 9, 2012, 15 pages. |
Office Action for U.S. Appl. No. 12/167,200, dated Jul. 21, 2010, 6 pages. |
Office Action for U.S. Appl. No. 12/167,203, dated Aug. 26, 2010, 9 pages. |
Office Action for U.S. Appl. No. 12/167,203, dated Jul. 20, 2011, 6 pages. |
Office Action for U.S. Appl. No. 12/167,203, dated Mar. 7, 2013, 5 pages. |
Office Action for U.S. Appl. No. 12/167,203, dated Oct. 31, 2011, 5 pages. |
Office Action for U.S. Appl. No. 12/167,203, dated Sep. 21, 2012, 6 pages. |
Office Action for U.S. Appl. No. 12/167,208, dated Dec. 30, 2009, 10 pages. |
Office Action for U.S. Appl. No. 12/167,208, dated Feb. 7, 2011, 8 pages. |
Office Action for U.S. Appl. No. 12/167,208, dated Jun. 3, 2010, 11 pages. |
Office Action for U.S. Appl. No. 12/167,208, dated Oct. 19, 2010, 8 pages. |
Office Action for U.S. Appl. No. 12/180,293, dated Jan. 4, 2011, 5 pages. |
Office Action for U.S. Appl. No. 12/180,293, dated Jul. 28, 2010, 8 pages. |
Office Action for U.S. Appl. No. 12/263,282, dated Jan. 5, 2012, 10 pages. |
Office Action for U.S. Appl. No. 12/786,169, dated Jan. 18, 2013, 14 pages. |
Office Action for U.S. Appl. No. 12/892,563, dated Feb. 19, 2013, 12 pages. |
Office Action for U.S. Appl. No. 12/976,871, dated Feb. 15, 2012, 8 pages. |
Office Action for U.S. Appl. No. 12/976,871, dated Jul. 10, 2012, 4 pages. |
Office Action for U.S. Appl. No. 12/976,871, dated May 6, 2013, 5 pages. |
Office Action for U.S. Appl. No. 12/976,871, dated Nov. 21, 2012, 5 pages. |
Office Action for U.S. Appl. No. 12/976,871, dated Oct. 9, 2013, 5 pages. |
Office Action for U.S. Appl. No. 13/183,314, dated Aug. 14, 2013, 11 pages. |
Office Action for U.S. Appl. No. 13/183,314, dated Mar. 28, 2013, 12 pages. |
Office Action for U.S. Appl. No. 13/224,992, dated Feb. 28, 2013, 10 pages. |
Office Action for U.S. Appl. No. 13/250,307, dated Nov. 5, 2013, 11 pages. |
Office Action for U.S. Appl. No. 13/474,559, dated Aug. 28, 2013, 10 pages. |
Office Action for U.S. Appl. No. 13/474,559, dated Dec. 28, 2012, 8 pages. |
Office Action for U.S. Appl. No. 13/538,957, dated Apr. 4, 2013, 19 pages. |
Office Action for U.S. Appl. No. 13/538,957, dated Oct. 5, 2012, 18 pages. |
Office Action for U.S. Appl. No. 13/743,182, dated Apr. 8, 2013, 10 pages. |
Office Action for U.S. Appl. No. 12/786,169, dated Jul. 20, 2012, 8 pages. |
Office Action in Japanese Patent Application 2015-116688, dated Aug. 25, 2015, 4 pages. |
Office Action in Japanese Patent Application 2015-116716, dated Aug. 25, 2015, 3 pages. |
Office Action on U.S. Appl. No. 12/236,464, dated Jul. 12, 2013, 17 pages. |
Office Action on U.S. Appl. No. 11/787,460, dated Mar. 19, 2010, 16 pages. |
Office Action on U.S. Appl. No. 11/787,460, dated Sep. 16, 2009, 15 pages. |
Office Action on U.S. Appl. No. 12/236,464, dated Feb. 11, 2014, 21 pages. |
Office Action on U.S. Appl. No. 12/236,464, dated Jun. 22, 2011, 14 pages. |
Office Action on U.S. Appl. No. 12/892,563, dated May 7, 2013, 6 pages. |
Office Action on U.S. Appl. No. 12/892,563, dated Oct. 10, 2012, 12 pages. |
Office Action on U.S. Appl. No. 13/241,051 dated Feb. 27, 2014, 21 pages. |
Office Action on U.S. Appl. No. 13/247,742 dated Dec. 3, 2013, 11 pages. |
Office Action on U.S. Appl. No. 13/250,798 dated Apr. 23, 2014, 15 pages. |
Office Action on U.S. Appl. No. 13/627,788, dated Jul. 28, 2014, 10 pages. |
Office Action on U.S. Appl. No. 13/867,556 dated Feb. 7, 2014, 11 pages. |
Office Action U.S. Appl. No. 11/787,460, dated Aug. 31, 2010, 18 pages. |
Office Action with English Translation received in Korean Patent Application 10-2010-7017278, dated Aug. 26, 2015, 5 pages. |
Pictures of DELPHINS, printed from website www.tunnel-in-the-sky.tudelft.nl on Aug. 28, 2007, 4 pages. |
Revs Product Information Sheet, Sierra Nevada Corporation, dated May 7, 2014, 2 pages. |
Skolnik, Introduction to Radar Systems, McGraw Hill Book Company, 2001, 3 pages. |
Skolnik, Radar Handbook (McGraw Hill Book Company), 1990, 23 pages. |
Synthetic Vision System, en.wikipedia.org/wiki/Synthetic_vision_system, retrieved Feb. 28, 2013, 4 pages. |
Technical Standard Order, TSO-C115b, Airborne Area Navigation Equipment Using Multi-Sensor Inputs, Department of Transportation, Federal Aviation Administration, Sep. 30, 1994, 11 pages. |
U.S. Office Action on U.S. Appl. No. 11/900,002 dated Jun. 8, 2010, 7 pages. |
U.S. Office Action on U.S. Appl. No. 13/247,742 dated Apr. 16, 2014, 15 pages. |
Vadlamani, A., et al., Improving the detection capability of spatial failure modes using downward-looking sensors in terrain database integrity monitors, Digital Avionics Systems Conference, 2003. DASC-03. The 22nd, vol. 2, pp. 9C.5-91-12 vol. 2, Oct. 12-16, 2003. |
Van Kasteren, Joost, “Tunnel-in-the-Sky, Synthetic vision simplifies the pilot's job and enhances safety,” printed from website www.delftoutlook.tudelft.nl on Aug. 28, 2007, 13 pages. |
Wang et al., A Simple Based on DSP Antenna Controller of Weather Radar, 2001 CIE International Conference, 4 pages. |
Non-Final Office Action for U.S. Appl. No. 15/222,923 dated Aug. 31, 2018. 11 pages. |