Cognitive reverse speed limiting

Information

  • Patent Grant
  • 10328933
  • Patent Number
    10,328,933
  • Date Filed
    Thursday, October 29, 2015
    8 years ago
  • Date Issued
    Tuesday, June 25, 2019
    4 years ago
Abstract
A parking assist system for a vehicle is provided that includes a speed limiting controller configured to set a speed limit for the vehicle during a maneuver and an audio sensor configured to sense an ambient sound within the vehicle. The speed limiting controller is configured to reduce the speed limit based on the sensing of the ambient sound within the vehicle.
Description
FIELD OF THE INVENTION

The present disclosure generally relates to reverse and parking assist systems, and more specifically, to parking assist systems which account for the cognitive load of a driver of a vehicle.


BACKGROUND OF THE INVENTION

When reversing a vehicle, both the cognitive load on a driver and the collision risk may vary for a number of reasons. For example, when backing a vehicle and/or trailer into a parking space, the driver may need to monitor front corners of the vehicle in addition to the sides and rear of the vehicle to assure there is enough clearance between the vehicle and surrounding objects. In addition, the surrounding objects may also be moving, such as when a bicycle crosses the projected path of the vehicle. The cognitive load of the driver generally increases with vehicle speed due to the heightened situational awareness needed by the driver in order to operate the vehicle at that speed. While there may be perimeter sensing and collision mitigation features in place to warn the driver and stop the vehicle, it may be desirable to limit the speed of the vehicle to help manage the cognitive load of the driver and provide more comfortable collision mitigation when there are distracting conditions that may be competing for the driver's attention. Furthermore, managing the vehicle speed based on sensor activity can help limit the risk of a collision even with an automated driving system in place.


SUMMARY OF THE INVENTION

According to one aspect of the present invention, a parking assist system for a vehicle is provided that includes a speed limiting controller configured to set a speed limit for the vehicle during a maneuver; and an audio sensor configured to sense an ambient sound within the vehicle. The speed limiting controller is configured to reduce the speed limit based on the sensing of the ambient sound within the vehicle.


According to another aspect of the present invention, a method for assisting in parking a vehicle is provided that includes the steps of detecting a first distance to a first obstacle using one or more sensors; detecting an ambient sound volume using an audio sensor; detecting environmental conditions external to the vehicle using an environmental sensor; and generating a brake torque request using a speed limiting controller configured to slow the vehicle. The brake torque request is based on the detection of at least one of the first distance to the first obstacle, the ambient sound volume, and the environmental conditions.


According to a further aspect of the present invention, a parking assist system for a vehicle is provided that includes one or more proximity sensors. An audio sensor is configured to sense an ambient sound volume within the vehicle. An environmental sensor is configured to detect environmental conditions. A speed limiting controller is configured to generate a speed limit for the vehicle during a parking maneuver. The controller is configured to reduce the speed limit based on data from the proximity sensors and the audio sensor.


These and other aspects, objects, and features of the present invention will be understood and appreciated by those skilled in the art upon studying the following specification, claims, and appended drawings.





BRIEF DESCRIPTION OF THE DRAWINGS

In the drawings:



FIG. 1 is a schematic depiction of a vehicle in an exemplary parking scenario;



FIG. 2 is a schematic depiction of the vehicle and a trailer in an exemplary reversing scenario between obstacles;



FIG. 3 is a schematic depiction of an exemplary method, according to one embodiment; and



FIG. 4 is a diagrammatic view of one embodiment of a parking assist system of the vehicle of FIG. 1.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

For purposes of description herein, the terms “upper,” “lower,” “right,” “left,” “rear,” “front,” “vertical,” “horizontal,” “interior,” “exterior,” and derivatives thereof, shall relate to the invention as oriented in FIG. 1. However, it is to be understood that the invention may assume various alternative orientations, except where expressly specified to the contrary. It is also to be understood that the specific devices and processes illustrated in the attached drawing, and described in the following specification, are simply exemplary embodiments of the inventive concepts defined in the appended claims. Hence, specific dimensions and other physical characteristics relating to the embodiments disclosed herein are not to be considered as limiting, unless the claims expressly state otherwise. Additionally, unless otherwise specified, it is to be understood that discussion of a particular feature of component extending in or along a given direction or the like does not mean that the feature or component follows a straight line or axis in such a direction, or that it only extends in such direction, or on such a plane, without other directional components or deviations, unless otherwise specified.


Referring to FIGS. 1-4, reference numeral 10 generally designates a vehicle having a parking assist system 14. The vehicle 10 may include one or more proximity sensors 18 configured to sense a first distance D1 to a first obstacle O1. An audio sensor 22 is configured to sense an ambient sound within the vehicle 10. An environmental sensor 26 is configured to detect environmental conditions outside of the vehicle 10. A speed limiting controller 30 is configured to process data from the plurality of proximity sensors 18, the audio sensor 22, and the environmental sensor 26 and control the vehicle 10 based on the sensed conditions.


Referring now to FIG. 1, the vehicle 10 (e.g., a car, truck, or sports utility vehicle) is shown in an exemplary scenario where the vehicle 10 is parallel parking into a parking space. In this example, the vehicle 10 is conducting a reversing maneuver into the parking space and should avoid a collision with the first object O1 (e.g., a car) and a second object O2 (e.g., a car). In such a parking scenario, a driver of the vehicle 10 needs to pay attention to the location of the corners of the vehicle 10, traffic passing by, the speed of the vehicle 10, the orientation of the vehicle 10 within the parking space, the environmental conditions around the vehicle 10 and any potentially distracting conditions within the vehicle 10 (e.g., children and/or pets). Such a parking scenario may lead to a heavy cognitive load within the driver, potentially leading to a distraction induced collision.


Referring now to FIG. 2, the vehicle 10 is depicted as a truck towing a trailer 42. In the depicted example, the driver is backing the vehicle 10 and trailer 42 between the first and second obstacles O1, O2. In such a reversing scenario, the driver of the vehicle 10 must pay attention to all of the same distractions listed above in connection with parking, in addition to the motion of trailer 42 relative to the vehicle 10 leading to an even greater cognitive load on the driver. The reversing and/or parking of the vehicle 10 may be assisted using the system 14, which is generally configured, among other actions, to limit the speed of the vehicle 10 using the speed limiting controller 30 in various ways while moving the vehicle 10. The speed limiting controller 30 of the parking assist system 14 may also be utilized in situations where the vehicle 10 is towing or pushing the trailer 42 or other towed implement.


Referring now to FIGS. 1 and 2, the one or more proximity sensors 18 may be ultrasonic sensors, radar sensors, vision sensors (e.g., a camera or imager), LIDAR sensors, vehicle-to-vehicle communication sensors, combinations thereof or other sensors configured to detect the first and second obstacles O1, O2. The proximity sensors 18 may be configured to not only determine the first distance D1 to the first obstacle O1 and a second distance D2 to the second obstacle O2, but may also determine the locations of the first and second obstacles O1, O2 relative to the vehicle 10. It will be understood that the proximity sensors 18 are capable of detecting the presence and distance of more than two obstacles (e.g., three, four or greater than five). The proximity sensors 18 may output a variety of signals indicative of the locations and distances of the obstacles O1, O2 to the parking assist system 14 and the speed limiting controller 30. The audio sensor 22 may be positioned within a cabin of the vehicle 10 and configured to sense an ambient volume of noise within the vehicle 10. The audio sensor 22 may be configured as a microphone, audio sensing board, or other electronic device capable of sensing sound. Additionally, the audio sensor 22 may be configured to sense the location of the sound within the vehicle 10 (e.g., a back seat area, a trunk space, a front passenger area) or sense sound external to the vehicle 10. The environmental sensor 26 is configured to gather environmental data external to the vehicle 10. The environmental sensor 26 may include a camera (e.g., capable of sensing rain, snow, fog, hail, sleet), a capacitive sensor configured to detect the presence of moisture on the vehicle 10, a networked device configured to gather local and/or regional meteorological data through the internet, a general weather sensor or other devices capable of sensing the environmental conditions external to the vehicle 10. Further, the driver of the vehicle 10 may optionally input or confirm data about the weather conditions external to the vehicle 10 or road conditions. The vehicle 10 also includes a brake system 50 capable of slowing the vehicle 10 through actuation of one or more vehicle brakes. The brake system 50 is in electrical communication with at least one of the speed limiting controller 30 and the parking assist system 14 and may be actuated independent of intervention by the driver.


During reversing, the cognitive load, or the total amount of mental effort being used in the driver's working memory, may be higher than under normal driving circumstances due to a variety of factors such as the presence and location of collision hazards (e.g., the first and second obstacles O1, O2), ambient noise within a cabin of the vehicle 10, environmental conditions exterior to the vehicle 10 (e.g., weather), as well as a number of other factors. If the cognitive load of the driver is particularly heavy, the driver may fail to properly account for the movement of the vehicle 10, the speed of the vehicle 10, the location of the first and second obstacles O1, O2, or other tasks associated with operating the vehicle 10, which may lead to a collision. Accordingly, systems, such as the parking assist system 14, can include the ability within the speed limiting controller 30 to limit the speed of the vehicle 10 by establishing a speed limit or a reference speed that the vehicle 10 may not move faster than during the reversing or backing. It will be understood that although described herein as a separate dedicated controller, the speed limiting controller 30 may be embodied as a tangible machine readable code, algorithm, program, and/or operating mode of another shared controller present on the vehicle 10 (e.g., anti-lock braking system controller, parking aid module, vehicle controller area network bus, or electronic control unit) without departing from the scope of the disclosure. The speed limit may be originally generated based on a variety of factors such as an angle between the trailer 42 and the vehicle 10, stability of the vehicle 10 (e.g., as measured by yaw rate sensors), a mass of the vehicle 10 and/or the trailer 42, a grade of a road the vehicle 10 and/or trailer 42 is positioned on, parking space location, road grade of the parking space and/or other factors. It will also be understood that the speed limit may not be generated by the speed limiting controller 30, but generated by another controller or module of the parking assist system 14 or vehicle 10, and provided to the speed limiting controller 30, without departing from the spirit of this disclosure.


The speed limiting controller 30 can be configured for speed limiting by the incorporation of a proportional-integral-derivative (“PID”) controller to monitor the difference between the vehicle speed and the speed limit (such difference being designated a speed error). The speed of the vehicle 10 may be measured through wheel count encoders of the brake system 50, GPS tracking, or other conventional methods of measuring the speed of the vehicle 10. In the event the vehicle speed is greater than the speed limit established by the speed limiting controller 30, the speed limiting controller may issue a brake torque request that will be sent to the brake system 50. The brake system 50 in turn applies the brakes appropriately, which alters the vehicle speed and reduces the speed error (i.e. lowering the speed of the vehicle 10). In alternative embodiments, the speed limiting controller 30 may reduce the output of a powertrain of the vehicle 10 separately, or in conjunction with, the brake torque request to slow the vehicle 10 to the speed limit. In some embodiments, the magnitude of the speed error may dictate the magnitude of the brake torque request and whether the speed limiting controller 30 issues the brake torque request with or without the reduction in powertrain output. The speed limiting controller 30 may take a variety of factors into account when issuing the brake torque request and/or the powertrain reduction such as road grade, powertrain output, the speed error and/or the speed limit, and/or the estimated cognitive load of the driver. In the event the vehicle speed is less than the speed limit, no brake torque request is issued by the speed limiting controller 30. For the purposes of speed limiting within a system such as system 14, the desired response is a system that quickly limits the vehicle speed to the speed limit with very little overshoot.


Referring now to FIG. 3, depicted is an exemplary method 100 by which the speed limiting controller 30 may alter the speed limit of the vehicle 10 based on factors which increase the cognitive load of the driver. As explained above, the cognitive load of the driver during a reversing or parking procedure may be heavy leading to a high potential of collision between the vehicle 10 and its surroundings (e.g., the first and second obstacles O1, O2). Accordingly, the method 100 examines a variety of potential distractions which may increase the cognitive load of the driver and reduces the speed limit accordingly. The method 100 may include steps 104, 108, 112, 116, 120, 124, 128 and 132, as shown.


Referring now to FIGS. 3 and 4, step 104 of detecting the first distance D1 and a first time to collision T1 to the first obstacle O1 and step 108 of detecting the second distance D2 and a second time to collision T2 to the second obstacle O2 are performed using both the proximity sensors 18 and the speed limiting controller 30. The proximity sensors 18 transmit data about the detected relative distance of the first and second obstacles O1, O2 to the speed limiting controller 30 which may in turn calculate the first and second times to collision T1, T2. It will be understood that a separate controller or module (e.g., parking aid module, electronic control unit) may calculate the first and second times to collision T1, T2 and provide them to the speed limiting controller 30 without departing from the scope of this disclosure. If the speed limiting controller 30 detects the presence of more than one obstacle, step 112 of determining a difference between the first time to collision T1 and the second time to collision T2 is performed. In circumstances where the driver must keep track of the first and second obstacles O1, O2, the relative time to collision of each of the first and second obstacles O1, O2 with the vehicle 10 may become important. For example, if the first time to collision T1 is much shorter than the second time to collision T2, the driver may prioritize the first obstacle O1 over the second obstacle O2, thereby decreasing the cognitive load of the driver. A small value for the difference between the first time to collision T1 and the second time to collision T2 may be caused by at least two circumstances. In a first circumstance, a small difference between the first time to collision T1 and the second time to collision T2 may indicate that the first and second obstacles O1, O2 will collide with the vehicle 10 close in time and that the driver needs to pay attention to both obstacles simultaneously thereby increasing the cognitive load of the driver. In a second circumstance, the first and second obstacles O1, O2 may both have a small time to collision less than a critical time to collision TC which is predetermined and tunable (e.g., 400 milliseconds, 500 milliseconds, 600 milliseconds) indicating that both obstacles O1, O2 may pose an immediate threat to the vehicle 10.


If the difference between the first time to collision T1 and the second time to collision T2 is less than a predetermined tunable value (e.g., 400 milliseconds, 500 milliseconds, 600 milliseconds) then step 116 of calculating an angle α between the first and second obstacles O1, O2 is performed. In various embodiments, the angle α may be measured in a ground plane, or in the same plane as the vehicle 10. Measuring the angle α between the first and second obstacles O1, O2 may help in the estimation of the cognitive load of the driver as an indicator of the severity with which the driver must alter their field of view (i.e. must move their head) in order to observe both the first and second obstacles O1, O2. The greater the angle α, the farther the driver generally must move their head back and forth to keep track of the first and second obstacles O1, O2 thereby increasing their cognitive load. If the angle α is greater than a predetermined tunable value (e.g., 60°, 75°, 90°, or other angle indicative of the driver's field of vision) in addition to the difference between the first time to collision T1 and the second time to collision T2 being greater than the predetermined tunable value, the speed limiting controller 30 may reduce the speed limit by a predetermined amount (e.g., 10%, 15%, 20%).


Referring again to FIG. 3, the speed limiting controller 30 may also account for an ambient sound volume in the cabin of the vehicle 10. Sounds can serve as a distraction to drivers and increase their cognitive load, more so with loud (e.g., greater than 70 dB) sounds. Additionally, human drivers are physiologically predisposed to prioritize certain critical sounds (e.g., a baby crying, sounds associated with danger, human voice) over other tasks at hand (e.g., driving the vehicle 10). Accordingly, lowering the speed limit of the vehicle 10 when a potentially distracting noise is present may be advantageous. Accordingly, when the audio sensor 22 detects an ambient sound volume greater than a predetermined tunable value (e.g., greater than 50 dB, greater than 60 dB, greater than 70 dB, greater than 80 dB, greater than 85 dB, greater than 90 dB, or greater than 100 dB) or when the audio sensor 22 detects a critical sound, the audio sensor 22 may output audio data or a signal to the speed limiting controller 30 such that the speed limit may be reduced by the speed limiting controller 30 by a predetermined amount (e.g., 10%, 15%, 20%). The audio sensor 22 may simply output a binary signal to the speed limiting controller 30 indicating a loud ambient volume, or the speed limiting controller 30 may be configured to receive a dynamic signal and proportionally reduce the speed limit based on the readings from the audio sensor 22.


The speed limiting controller 30 may also be in electrical communication with the environmental sensor 26 such that the speed limiting controller 30 may also take into consideration environmental conditions external to the vehicle 10 in assessing whether or not to reduce the speed limit in step 124. Environmental conditions may increase the cognitive load of the driver due to changes in visibility around the vehicle 10, handling conditions due to wet or frozen ground, and the likelihood of other driver's mistakes. As such, the speed limiting controller 30 may receive data from the environmental sensor 26 indicative of the environmental conditions external to the vehicle 10 and reduce the speed limit of the vehicle 10 accordingly. In various embodiments, the speed limiting controller 30 may reduce the speed limit by a predetermined tunable amount (e.g., 5%, 10%, 12%, 15%, 20%) for conditions affecting handling of the vehicle 10 (e.g., snow or ice present on the ground leading to slippery conditions) and reduce the speed limit by an additional amount (e.g., 5%, 10%, 12%, 15%, 20%) for conditions affecting the driver's visibility. In various embodiments, the reduction of the speed limit based on environmental conditions may be scalable, or proportional, to the severity of the conditions (e.g., dense fog vs. light fog, snowing vs. white out, black ice vs. light snow).


Once the speed limiting controller 30 has taken into account the potential distractions that may increase the cognitive load of the driver and reduced the speed limit of the vehicle 10 accordingly, the speed limiting controller 30 performs step 128 of determining a difference between the vehicle speed and the speed limit. The speed limiting controller 30 compiles the reductions in the speed limit to determine an adjusted speed limit. If the speed of the vehicle 10 is lower than the adjusted speed limit, the speed limiting controller 30 may take no action. If the speed limiting controller 30 determines that the speed of the vehicle 10 is greater than the adjusted speed limit, step 132 of generating a brake torque request is performed. The brake torque request may be based at least in part on the magnitude of the difference between the adjusted speed limit and the vehicle speed, angle between the trailer 42 and the vehicle 10, stability of the vehicle 10 (e.g., as measured by yaw rate sensors), a mass of the vehicle 10 and/or the trailer 42, a grade of a road the vehicle 10 and/or trailer 42 is positioned on, parking space location, road grade of the parking space and/or other factors. The brake torque request is sent to the brake system 50 to slow the vehicle 10.


It will be understood that although the present disclosure was described in connection with reversing and/or parking the vehicle 10 and/or trailer 42, the disclosure may equally be applied to forward motion and/or maneuvers of the vehicle 10 and/or trailer 42 without departing from the scope of this disclosure. Additionally, it will be understood that any and all of the tunable values explained in this disclosure may be tunable or predetermined based on a variety of factors. For example, certain values may be chosen to provide the driver with a greater amount of time before the speed limiting controller 30 or parking assist system 14 intervenes, or values may be chosen to decrease the time before the speed limiting controller 30 or parking assist system 14 intervenes, which may limit the abruptness of action and require less action by the driver. Further, it will be understood that the speed of the vehicle 10 may be reduced additionally or alternatively to the reduction of the speed limit when the speed limiting controller 30 or parking assist system 14 intervene.


It is to be understood that variations and modifications can be made on the aforementioned structure without departing from the concepts of the present invention, and further it is to be understood that such concepts are intended to be covered by the following claims unless these claims by their language expressly state otherwise.


For purposes of this disclosure, the term “coupled” (in all of its forms: couple, coupling, coupled, etc.) generally means the joining of two components (electrical or mechanical) directly or indirectly to one another. Such joining may be stationary in nature or movable in nature. Such joining may be achieved with the two components (electrical or mechanical) and any additional intermediate members being integrally formed as a single unitary body with one another or with the two components. Such joining may be permanent in nature or may be removable or releasable in nature unless otherwise stated.


It is also important to note that the construction and arrangement of the elements of the invention as shown in the exemplary embodiments is illustrative only. Although only a few embodiments of the present innovations have been described in detail in this disclosure, those skilled in the art who review this disclosure will readily appreciate that many modifications are possible (e.g., variations in sizes, dimensions, structures, shapes and proportions of the various elements, values of parameters, mounting arrangements, use of materials, colors, orientations, etc.) without materially departing from the novel teachings and advantages of the subject matter recited. For example, elements shown as integrally formed may be constructed of multiple parts, or elements shown as multiple parts may be integrally formed, the operation of the interfaces may be reversed or otherwise varied, the length or width of the structures and/or members or connector or other elements of the system may be varied, the nature or number of adjustment positions provided between the elements may be varied. It should be noted that the elements and/or assemblies of the system may be constructed from any of a wide variety of materials that provide sufficient strength or durability, in any of a wide variety of colors, textures, and combinations. Accordingly, all such modifications are intended to be included within the scope of the present innovations. Other substitutions, modifications, changes, and omissions may be made in the design, operating conditions, and arrangement of the desired and other exemplary embodiments without departing from the spirit of the present innovations.


It will be understood that any described processes or steps within described processes may be combined with other disclosed processes or steps to form structures within the scope of the present invention. The exemplary structures and processes disclosed herein are for illustrative purposes and are not to be construed as limiting.

Claims
  • 1. A parking assist system for a vehicle, comprising: a speed limiting controller configured to set a speed limit for the vehicle during a maneuver;an audio sensor configured to sense a location of a noise within the vehicle, wherein the speed limiting controller is configured to proportionally reduce the speed limit based on the sensing of the noise exceeding a predetermined decibel level and based on the location of the noise relative to a driver; anda networked device configured to gather meteorological data, wherein the speed limiting controller is configured to proportionally reduce the speed limit based on the meteorological data collected by the networked device.
  • 2. The parking assist system of claim 1, further comprising: an environmental sensor configured to determine environmental conditions exterior to the vehicle, wherein the speed limiting controller is configured lower the speed limit based at least in part on the environmental conditions exterior to the vehicle.
  • 3. The parking assist system of claim 1, further comprising: one or more proximity sensors configured to detect a first distance to a first obstacle and a second distance to a second obstacle, wherein the speed limiting controller is configured to calculate an angle between the first and second obstacles.
  • 4. The parking assist system of claim 3, wherein the speed limiting controller is configured to calculate a difference in a time to collision between the first and the second obstacles.
  • 5. The parking assist system of claim 3, wherein the speed limiting controller is configured to reduce the speed limit of the vehicle if the angle exceeds a predetermined angle.
  • 6. The parking assist system of claim 1, wherein the speed limiting controller is configured to reduce a speed of the vehicle by issuing a brake torque request to a brake system.
  • 7. A vehicle parking assist system, comprising: a speed limiting controller configured to set a speed limit for a vehicle during a maneuver; andan audio sensor configured to sense a location of a noise within an interior of the vehicle, wherein the speed limiting controller is configured to receive a dynamic signal from the audio sensor and proportionally reduce the speed limit based on the sensing of the noise exceeding a predetermined level and based on the location of the noise relative to a driver.
  • 8. The vehicle parking assist system of claim 7, wherein the speed limiting controller is configured to reduce the speed limit a first predetermined amount based on external conditions affecting handling of the vehicle.
  • 9. The vehicle parking assist system of claim 8, wherein the speed limiting controller is configured to reduce the speed limit a second predetermined amount based on external conditions affecting visibility.
  • 10. The vehicle parking assist system of claim 7, wherein the speed limiting controller is configured to reduce the speed limit based on the sensing of a critical sound.
  • 11. The vehicle parking assist system of claim 7, further comprising: a capacitive sensor configured to sense a presence of moisture on an exterior of the vehicle.
  • 12. The vehicle parking assist system of claim 7, further comprising: a networked device configured to gather meteorological data, wherein the speed limiting controller is configured to reduce the speed limit based on the meteorological data.
  • 13. The vehicle parking assist system of claim 7, further comprising: an environmental sensor including a camera configured to sense weather conditions external to the vehicle.
  • 14. A method for assisting in parking a vehicle, comprising the steps of: sensing a noise within an interior of a vehicle using an audio sensor;sensing a location of the noise using the audio sensor; andgenerating a brake torque request using a speed limiting controller configured to proportionally reduce a speed limit based on a volume of the noise and the location of the noise proximate a driver.
  • 15. The method for assisting in parking a vehicle of claim 14, wherein the speed limiting controller is configured to reduce the speed limit based on the sensing of a critical sound.
  • 16. The method for assisting in parking a vehicle of claim 14, wherein the audio sensor is a microphone positioned within the interior of the vehicle.
  • 17. The method for assisting in parking a vehicle of claim 14, further comprising the step of: sensing environmental conditions exterior to the vehicle using a camera configured to sense weather conditions and a capacitive sensor to sense moisture.
  • 18. The method for assisting in parking a vehicle of claim 14, further comprising the step of: sensing environmental conditions exterior to the vehicle using a networked device configured to gather meteorological data.
  • 19. The method for assisting in parking a vehicle of claim 14, wherein the speed limiting controller is configured to reduce the speed limit a first predetermined amount based on external conditions affecting handling of the vehicle.
  • 20. The method for assisting in parking a vehicle of claim 19, wherein the speed limiting controller is configured to reduce the speed limit a second predetermined amount based on external conditions affecting visibility.
US Referenced Citations (90)
Number Name Date Kind
5919241 Bolourchi et al. Jul 1999 A
6122579 Collier-Hallman et al. Jun 2000 A
6370459 Phillips Apr 2002 B1
6424895 Shimizu et al. Jul 2002 B1
6539288 Ishida et al. Mar 2003 B2
6580984 Fecher et al. Jun 2003 B2
6604592 Pietsch et al. Aug 2003 B2
6631781 Williams et al. Oct 2003 B2
7039504 Tanaka et al. May 2006 B2
7546191 Lin et al. Jun 2009 B2
7706944 Tanaka et al. Apr 2010 B2
7777615 Okuda et al. Aug 2010 B2
7813855 Watanabe et al. Oct 2010 B2
7904222 Lee et al. Mar 2011 B2
8020657 Allard et al. Sep 2011 B2
8139109 Schmiedel et al. Mar 2012 B2
8169341 Toledo et al. May 2012 B2
8319614 Takano Nov 2012 B2
8374749 Tanaka Feb 2013 B2
8406956 Wey et al. Mar 2013 B2
8427288 Schofield et al. Apr 2013 B2
8464829 Von Tardy-Tuch et al. Jun 2013 B2
8498770 Takano Jul 2013 B2
8521364 Hueger et al. Aug 2013 B2
8571758 Klier et al. Oct 2013 B2
8626382 Obradovich Jan 2014 B2
8645015 Oetiker et al. Feb 2014 B2
8755984 Rupp et al. Jun 2014 B2
8798860 Dechamp Aug 2014 B2
8823796 Shen et al. Sep 2014 B2
8825221 Hueger et al. Sep 2014 B2
8888120 Trevino Nov 2014 B2
8909426 Rhode et al. Dec 2014 B2
8948990 Kobayashi Feb 2015 B2
9008890 Herbach Apr 2015 B1
9043083 Kadowaki et al. May 2015 B2
9102271 Trombley et al. Aug 2015 B2
9132856 Shepard Sep 2015 B2
9174672 Zeng et al. Nov 2015 B2
9208686 Takamatsu Dec 2015 B2
9229453 Lee Jan 2016 B1
9238483 Hafner et al. Jan 2016 B2
9248858 Lavoie et al. Feb 2016 B2
9305463 Yellambalase Apr 2016 B1
9400897 Bruening et al. Jul 2016 B2
9429943 Wilson et al. Aug 2016 B2
9464913 Brown et al. Oct 2016 B2
9520063 Noh Dec 2016 B2
9676377 Hafner Jun 2017 B2
9836060 Ghneim et al. Dec 2017 B2
9840278 Lavoie et al. Dec 2017 B2
20050206225 Offerle et al. Sep 2005 A1
20060190147 Lee et al. Aug 2006 A1
20060244579 Raab Nov 2006 A1
20070057816 Sakakibara et al. Mar 2007 A1
20070158128 Gratz Jul 2007 A1
20080086269 Joe Apr 2008 A1
20090079828 Lee Mar 2009 A1
20090222202 Kato Sep 2009 A1
20120224059 Takamatsu Sep 2012 A1
20120271522 Rupp et al. Oct 2012 A1
20120283909 Dix Nov 2012 A1
20120316732 Auer Dec 2012 A1
20130006472 McClain et al. Jan 2013 A1
20130103246 Staack Apr 2013 A1
20130120161 Wakabayashi et al. May 2013 A1
20130229524 Vovkushevsky et al. Sep 2013 A1
20130238193 Bolourchi et al. Sep 2013 A1
20140121883 Shen et al. May 2014 A1
20140121930 Allexi et al. May 2014 A1
20140188344 Lavoie Jul 2014 A1
20140244095 Choi et al. Aug 2014 A1
20140267727 Alaniz Sep 2014 A1
20150012202 Moore et al. Jan 2015 A1
20150025732 Min et al. Jan 2015 A1
20150077557 Han et al. Mar 2015 A1
20150158524 Lee et al. Jun 2015 A1
20150191200 Tsubaki et al. Jul 2015 A1
20150217692 Yanagawa Aug 2015 A1
20150232092 Fairgrieve et al. Aug 2015 A1
20150251602 Baur et al. Sep 2015 A1
20150274202 Tsunoda et al. Oct 2015 A1
20150369613 Stadler Dec 2015 A1
20160103499 Yamamoto Apr 2016 A1
20160207526 Franz et al. Jul 2016 A1
20160229452 Lavoie et al. Aug 2016 A1
20160301698 Katara Oct 2016 A1
20160304088 Barth Oct 2016 A1
20160304122 Herzog et al. Oct 2016 A1
20160320477 Heimberger Nov 2016 A1
Foreign Referenced Citations (17)
Number Date Country
202541524 Nov 2012 CN
102005043466 Mar 2007 DE
0842841 May 2002 EP
1006042 Apr 2006 EP
1695888 Aug 2006 EP
2213546 Aug 2010 EP
2496298 May 2013 GB
649063 Jan 1989 JP
2002337717 Nov 2002 JP
2003261053 Sep 2003 JP
2009113512 May 2009 JP
201434289 Feb 2014 JP
20060133750 Dec 2006 KR
20110114897 Apr 2010 KR
1020140004411 Jan 2014 KR
1020150038776 Apr 2015 KR
2014092611 Jun 2014 WO
Non-Patent Literature Citations (2)
Entry
SH.Azadi et al., Automatic Parking of an Articulated Vehicle Using ANFIS, Global Journal of Science, Engineering end Technology, GJSET Publishing, 2013, Issue 14, 2013, pp. 93-104.
Cuesta et al., Intelligent System for Parallel Parking of Cars and Tractor-Trailers, Intelligent Mobile Robot Navigation, STAR 16, Springer-Verlag Berlin Heidelberg 2006, pp. 159-188.
Related Publications (1)
Number Date Country
20170120903 A1 May 2017 US