This disclosure generally relates to an automated vehicle radar system, and more particularly relates to a radar system that self-calibrates as a host-vehicle travels past a stationary object.
Automotive radar systems are often initially calibrated in a test facility such as an anechoic chamber, and then installed on a host-vehicle without further re-calibration. As such, the calibration may not be optimal as the calibration does not compensate for the effects of the fascia, frame, or other features of the host-vehicle that may influence the response of the radar system. Also, this initial calibration does not compensate for changes of response due to aging or changes in environmental conditions, which can and often do lead to deterioration in system performance. A typical initial calibration of the radar system prior to installation in a host-vehicle places a target at a reference point in the chamber, and the radar antenna is rotated so a response is collected over a set of angles that correspond to the radar system's operating field-of-view. At each angle, a response in the form of complex voltages is collected for each element of the antenna, and these responses can be used to fully determine a default or initial calibration of the system. That is, where the responses deviate from an expected or ideal-response is noted and a correction factor or calibration-matrix is established to correct or compensate the complex-voltages from each element of the antenna for each of the angles tested.
Described herein is a radar system that is programmed with a method for on-line or on-the-fly calibration of an automotive radar system, where the calibration does not rely on a controlled chamber environment or predetermined test facility. The calibration can be performed while the host-vehicle is traveling throughout the operating lifetime of the system. This provides for a more precise calibration of the system even as parts of the system or the host-vehicle change (e.g. degrade) over time and/or due to changes in operating environment. The system uses the premise that a response from a single target can be found for multiple angles as the host-vehicle travels past the target. The method includes procedures for picking out such targets and updating/tuning a calibration-matrix that provides for a full calibration of the system. The method make use of a Doppler scattering phenomenon where a stationary object takes on different Doppler value due to the changing radial speed as the host-vehicle makes it way toward and eventually past the stationary object, where the radial speed is dependent on the speed of the host-vehicle and the angle to the object. The range of physical angles of the stationary object depends on its relative position with respect to the host-vehicle, which is tied to the initial range. There may be a one-to-one mapping between a certain Doppler value and physical angle of the stationary object. For a forward facing radar, the stationary object of interest initially may be located at one degree (1°) offset from the bore-site of the system. As long as the host-vehicle has a fixed trajectory (driving at a constant speed on a relative straight roadway) a stationary object such as a light pole, or speed limit sign can be tracked and the data can be stored and later used for calibration.
At certain intervals determined at the time of the design, the radar goes into an on-line calibration mode. This can be based on miles traveled, weather changes, a time-interval (periodic), or a time-delta from the initial time of sensor operation. In the calibration mode, the system may be switched into a sensing mode which gives it the highest Doppler resolution that is appropriate with the vehicle speed. For example, the system may be configured to gather separate detections of the object at the one degree angular intervals. For example, if the host-vehicle traveling at 60 kph and the object is at an angle of one degree (the most stressing), the system needs at least a 2.5 mm/s Doppler resolution to be able to determine that the object is at the 1 degree location. However, when the object is at the 40 degrees, the Doppler resolution only needs to be 185 mm/s. detection range is limited to 5-40 degrees instead of 1-40 degrees; the minimum Doppler resolution requirements can be relaxed.
After setting the parameters of the sensing mode based on the speed of the host-vehicle, the field-of-view of the system may be searched for dominant stationary object. The object is then tracked and complex voltages recorded at, for example, one-degree angle intervals, and continue until the object exits the field-of-view of the system, for example at forty-five degrees. It is noted that the collection of data does not need to be complete for every degree of angle in the field-of-view, but the more complete the collection, the more exact the calibration would become.
In accordance with one embodiment, a radar system suitable for use on an automated vehicle and capable of self-calibration is provided. The system includes an antenna, a transceiver, and a controller. The antenna is mounted on a host-vehicle. The antenna is used to broadcast a radar-signal and detect a reflected-signal arising from a reflection of the radar-signal by an object. The transceiver is in communication with the antenna. The transceiver determines a distance, an angle, and a range-rate of the object relative to the antenna based on the radar-signal and the reflected-signal. The controller is in communication with the transceiver. The controller determines a speed of the host-vehicle; determines when the object is stationary based on the speed, the angle, and the range-rate; stores in a memory a plurality of detections that correspond to multiple instances of the distance, the angle, and the range-rate as the host-vehicle travels by the object; selects an ideal-response of angle versus range-rate based on the speed; determines a calibration-matrix of the system based on a difference between the plurality of detections and the ideal-response when the object is stationary; and adjusts an indicated-angle to a subsequent-object in accordance with the calibration-matrix.
Further features and advantages will appear more clearly on a reading of the following detailed description of the preferred embodiment, which is given by way of non-limiting example only and with reference to the accompanying drawings.
The present invention will now be described, by way of example with reference to the accompanying drawings, in which:
The system 10 described herein is advantageously capable of self-calibration to overcome the problems described above with regard to the one-time initial calibration. As will be described in more detail below, the system 10 described herein is able to use detected instances of stationary objects (e.g. road-signs or instances of reflectors mounted on posts commonly used to indicate the edge of a roadway) to periodically, regularly, or continuously update or refine the calibration of the system 10.
The system 10 includes an antenna 22 mounted on a host-vehicle 12. In general, the antenna 22 has multiple instances of receive-elements 24 (
The system 10 includes a transceiver 32 in communication with the antenna 22. The communication may be by way of wires, fiber-optics, wave-guides, and the like, or any combination thereof, as will be recognized by those in the art. The transceiver 32 may be used to determine a distance 34, an angle 36 (i.e. the aforementioned azimuth angle), and a range-rate 38 (see also
The system 10 includes a controller 40 in communication with the transceiver 32. While the transceiver 32 is shown as separate from the controller 40, this is only to simplify the explanation of the system 10. It is contemplated that the function of the transceiver 32 could be integrated into the controller 40. The controller 40 may include a processor (not specifically shown) such as a microprocessor or other control circuitry such as analog and/or digital control circuitry including an application specific integrated circuit (ASIC) for processing data as should be evident to those in the art. The controller 40 may include memory 42, including non-volatile memory, such as electrically erasable programmable read-only memory (EEPROM) for storing one or more routines, thresholds, and captured data. The one or more routines may be executed by the processor to perform a method of steps for calibrating the system 10 based on signals sent and received by the controller 40 as described herein. That is, the controller 40 can be described as being programmed to perform the method described below to calibrate the system 10.
In one step the controller 40 determines a speed 44 of the host-vehicle 12. The speed 44 may be determined in a number of ways including, but not limited to, receiving a signal from a rotational-speed sensor (e.g. wheel speed sensor) where the signal may also be used to operate a speedometer of the host-vehicle; receiving a speed-value from a global-positioning-system (GPS) of the host-vehicle 12; or collecting/averaging range-rates associated with stationary-objects located near the bore-site 46 (
In another step the controller 40 determines when the object 20 is stationary based on the speed 44, the angle 36, and the range-rate 38. If the range-rate 38 divided by the cosine of the angle 36 is approximately equal to the speed 44, e.g. +/−2%, then the object 20 is presumed to be stationary. If the object 20 is not stationary, it is recognized that the object 20 could be tracked and used to calibrate the system 10. However, it is believed that the complexity and possible lower confidence of using moving objects with unknown and inconsistent speeds to calibrate the system 10 is not preferred as it is presumed that there will be a sufficient number of stationary objects to make the calibration of the system 10 effective. It is recognized that other characteristics (other than being stationary) of the reflected-signal 30 reflected by the object 20 may be examined to determine if the object 20 is suitable to use for calibrating the system 10, some of which will be described later.
Referring again to the method or programming of the controller 40, in another step the controller 40 stores in the memory 42 a plurality of detections 48 that may be in the form of complex-voltages 50 from the receive-elements 24. In general, the complex-voltages 50 correspond to or are indicative of multiple instances of the distance 34, the angle 36, and the range-rate 38 as the host-vehicle 12 travels by the object 20. As a generic mathematical description for an antenna with N instances of the receive-elements 24 (N=8 for the example antenna shown in
While the description so far may be interpreted to suggest that the plurality of detections 48 used to determine the X matrix shown in
In another step the controller 40 determines a calibration-matrix 54 of the system 10 based on a difference between the plurality of detections 48 and the ideal-response 52 when the object 20 is stationary, where the difference is based on an angle difference between an indicated-angle 66 at an indicated-range-rate 60 and an ideal-angle at an ideal-range-rate indicated by the ideal-response 52 for the condition that the ideal-range-rate is equal to the indicated-range-rate 60. To this end, a set of steering vectors corresponding to idealized responses is defined by Eq. 2 and Eq. 3 that corresponds to the configuration of the antenna 22.
Then for each of the M angles of arrival, an N×M matrix composed of M steering columns for each of the angles is defined by Eq. 4.
A=[aθ
For each of the angle of arrival, a complex multiplier that corresponds to an overall arbitrary gain and a phase is provided that helps further adjusts the response from those angle, which is shown below as Eq. 5 and is labeled the matrix Z.
In another step the controller 40 adjusts an indicated-angle 66 to a subsequent-object in accordance with the calibration-matrix 54. In Eq. 6 below, the calibration-matrix 54 (labeled C) acts upon a plurality of detections 48 (labeled X) that are associated with a subsequent-object 56, i.e. an object different from the object 20 that was used to determine the calibration-matrix 54, to be equal the ideal response 52 multiplied by a set of complex values that helps adjust the ideal response to that of the calibrated response. The resulting equation is
CX=AZ Eq. 6.
C and Z can both be determined by solving the following Eq. 7 which is an optimization problem solved by textbook minimization approach over all possible values of C and Z.
min(CX−ZA) Eq. 7.
Since it is an optimization problem, there may not be a unique solution. Note that the number of angles included in the measurement vector X does not need to be complete. As the column of X approaches the full set of angles, the more accurate the calibration-matrix 54 becomes. That is, once the calibration-matrix 54 is determined, the effect is that controller 40 adjusts an indicated-distance 58 and an indicated-range-rate 60 to the subsequent-object 56 in accordance with the calibration-matrix 54 to provide an adjusted-distance 62 and an adjusted-range-rate 64 that corresponds to the actual distance and range-rate to the subsequent-object 56.
As suggested above, it is recognized that other characteristics (other than being stationary) of the reflected-signal 30 reflected by the object 20 may be examined to determine if the object 20 is suitable to use for calibrating the system 10. By way of example and not limitation, an instance of the plurality of detections 48 associated with the object 20 may be used to determine the calibration-matrix 54 when a face-linearity 70 of the object 20 is less than a linearity-threshold 72. As used herein, the face-linearity 70 is a measure of how much variation in distance is indicated if multiple returns or targets are associated with the object 20. For example, if a road-sign such as a speed-limit-sign had multiple returns because the road-sign was so close that the angular resolution of the system could detect the same sign at more than one value of the angle 36, the distance 34 of those multiple returns could be compared. Since the road-sign is relatively flat, there would be little variation in the distance 34 for each of the returns. By contrast, if the object 20 where a parked-vehicle on the shoulder of the roadway, a returns corresponding to a tail-light reflector and a side-view mirror would have substantially different distances. Such a variation in distance could complicate the process of determining the calibration matrix, so the parked-vehicle would not be a preferred instance of the object 20 used for calibration of the system 10. If the linearity-threshold 72 were set to twenty centimeters (20 cm) for example, then the face-linearity 70 of the parked-vehicle would likely be greater than the linearity-threshold 72 so the parked-vehicle may not be a suitable object to use for calibration. However, the face-linearity 70 of the road-sign would likely be less than the linearity-threshold 72 so the road-sign may be a suitable object to use for calibration.
By way of further example, an instance of the plurality of detections 48 associated with the object 20 may be used to determine the calibration-matrix 54 when the distance 34 is less than a distance-threshold 74, fifty meters (50 m) for example. If the object 20 is too far away, e.g. greater than 50 m, the signal-to-noise ratio (SNR) of the return signal may be too low to provide a relatively consistent detection. Also, at such distance the host-vehicle 12 may need to travel a substantial distance before the angle 36 changes enough for the system 10 to detect a different value for the angle 36. As such, it may be preferable to only use objects that are closer than the distance-threshold 74. It may also be preferable to only use objects that are detected with a SNR above some threshold, and/or when the reflected-signal 30 has a signal-strength greater than some strength-threshold.
Accordingly, a radar system (the system 10), a controller 40 for the system 10, and a method of operating the system 10 is provided. The system 10 is an improvement over systems that are initially calibrated in a manufacturing environment, but do not have the ability to update and/or fine tune the calibration of the system 10 ‘on-the-fly’ after the host-vehicle 12 has left the factory.
While this invention has been described in terms of the preferred embodiments thereof, it is not intended to be so limited, but rather only to the extent set forth in the claims that follow.
This is a continuation application and claims the benefit under 35 U.S.C. § 120 of U.S. patent application Ser. No. 15/339,135, filed Oct. 31, 2016, the entire disclosure of which is hereby incorporated herein by reference.
Number | Date | Country | |
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Parent | 15339135 | Oct 2016 | US |
Child | 16667095 | US |