Abstract: Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.

Abstract: Among other things, techniques are described for determining precedence order at a multiway stop. In embodiments, identifications are assigned to tracks, and young tracks are compared to stale tracks. A young track matches a stale track based on one or more factors. An identification of the young track is reassigned to an identification of the stale track, wherein the young track is determined to match the stale track based on the one or more factors. An earliest time of appearance of agents is determined based on identifications and in view of perception obscured areas. A precedence order for navigating through the intersection is determined based on local rules, the identifications, and the earliest time of appearance of agents, and the vehicle proceeds through the multiway stop intersection in accordance with the precedence order.

Abstract: A method includes transmitting a first transmitted signal corresponding to a first range rate window size; receiving a first received signal; determining a first detected range rate of an object based on the first received signal; transmitting a second transmitted signal corresponding to a second range rate window size; receiving a second received signal; determining a second detected range rate of the object based on the second received signal; computing a first range rate window index based on a first range rate window index difference; in accordance with a determination that the first range rate window index meets predefined criteria, computing an estimated range rate based on the first range rate window index difference; and in accordance with a determination that the first range rate window index does not meet the predefined criteria, foregoing computing an estimated range rate based on the first range rate window index difference.

Abstract: A sensor data fusion system for a vehicle with multiple sensors includes a first-sensor, a second-sensor, and a controller-circuit. The first-sensor is configured to output a first-frame of data and a subsequent-frame of data indicative of objects present in a first-field-of-view. The first-frame is characterized by a first-time-stamp, the subsequent-frame of data characterized by a subsequent-time-stamp different from the first-time-stamp. The second-sensor is configured to output a second-frame of data indicative of objects present in a second-field-of-view that overlaps the first-field-of-view. The second-frame is characterized by a second-time-stamp temporally located between the first-time-stamp and the subsequent-time-stamp. The controller-circuit is configured to synthesize an interpolated-frame from the first-frame and the subsequent-frame. The interpolated-frame is characterized by an interpolated-time-stamp that corresponds to the second-time-stamp.

Abstract: Among other things, techniques are described for determining precedence order at a multiway stop. In embodiments, identifications are assigned to tracks, and young tracks are compared to stale tracks. A young track matches a stale track based on one or more factors. An identification of the young track is reassigned to an identification of the stale track, wherein the young track is determined to match the stale track based on the one or more factors. An earliest time of appearance of agents is determined based on identifications and in view of perception obscured areas. A precedence order for navigating through the intersection is determined based on local rules, the identifications, and the earliest time of appearance of agents, and the vehicle proceeds through the multiway stop intersection in accordance with the precedence order.

Abstract: A sensor data fusion system for a vehicle with multiple sensors includes a first-sensor, a second-sensor, and a controller-circuit. The first-sensor is configured to output a first-frame of data and a subsequent-frame of data indicative of objects present in a first-field-of-view. The first-frame is characterized by a first-time-stamp, the subsequent-frame of data characterized by a subsequent-time-stamp different from the first-time-stamp. The second-sensor is configured to output a second-frame of data indicative of objects present in a second-field-of-view that overlaps the first-field-of-view. The second-frame is characterized by a second-time-stamp temporally located between the first-time-stamp and the subsequent-time-stamp. The controller-circuit is configured to synthesize an interpolated-frame from the first-frame and the subsequent-frame. The interpolated-frame is characterized by an interpolated-time-stamp that corresponds to the second-time-stamp.

Abstract: Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.

Abstract: Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.

Abstract: A sensor data fusion system for a vehicle with multiple sensors includes a first-sensor, a second-sensor, and a controller-circuit. The first-sensor is configured to output a first-frame of data and a subsequent-frame of data indicative of objects present in a first-field-of-view. The first-frame is characterized by a first-time-stamp, the subsequent-frame of data characterized by a subsequent-time-stamp different from the first-time-stamp. The second-sensor is configured to output a second-frame of data indicative of objects present in a second-field-of-view that overlaps the first-field-of-view. The second-frame is characterized by a second-time-stamp temporally located between the first-time-stamp and the subsequent-time-stamp. The controller-circuit is configured to synthesize an interpolated-frame from the first-frame and the subsequent-frame. The interpolated-frame is characterized by an interpolated-time-stamp that corresponds to the second-time-stamp.

Abstract: A method includes transmitting a first transmitted signal corresponding to a first range rate window size; receiving a first received signal; determining a first detected range rate of an object based on the first received signal; transmitting a second transmitted signal corresponding to a second range rate window size; receiving a second received signal; determining a second detected range rate of the object based on the second received signal; computing a first range rate window index based on a first range rate window index difference; in accordance with a determination that the first range rate window index meets predefined criteria, computing an estimated range rate based on the first range rate window index difference; and in accordance with a determination that the first range rate window index does not meet the predefined criteria, foregoing computing an estimated range rate based on the first range rate window index difference.

Abstract: A vehicle perception sensor adjustment system includes a perception-sensor, a digital-map, and controller-circuit. The perception-sensor is configured to detect an object proximate to a host-vehicle. The perception-sensor is characterized as having a field-of-view that is adjustable. The digital-map indicates a contour of a roadway traveled by the host-vehicle. The controller-circuit in communication with the perception-sensor and the digital-map. The controller-circuit determines the field-of-view of the perception-sensor in accordance with the contour of the roadway indicated by the digital-map, and outputs a control-signal to the perception-sensor that adjusts the field-of-view of the perception-sensor.

Abstract: Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.

Abstract: A sensor data fusion system for a vehicle with multiple sensors includes a first-sensor, a second-sensor, and a controller-circuit. The first-sensor is configured to output a first-frame of data and a subsequent-frame of data indicative of objects present in a first-field-of-view. The first-frame is characterized by a first-time-stamp, the subsequent-frame of data characterized by a subsequent-time-stamp different from the first-time-stamp. The second-sensor is configured to output a second-frame of data indicative of objects present in a second-field-of-view that overlaps the first-field-of-view. The second-frame is characterized by a second-time-stamp temporally located between the first-time-stamp and the subsequent-time-stamp. The controller-circuit is configured to synthesize an interpolated-frame from the first-frame and the subsequent-frame. The interpolated-frame is characterized by an interpolated-time-stamp that corresponds to the second-time-stamp.

Abstract: A vehicle perception sensor adjustment system includes a perception-sensor, a digital-map, and controller-circuit. The perception-sensor is configured to detect an object proximate to a host-vehicle. The perception-sensor is characterized as having a field-of-view that is adjustable. The digital-map indicates a contour of a roadway traveled by the host-vehicle. The controller-circuit in communication with the perception-sensor and the digital-map. The controller-circuit determines the field-of-view of the perception-sensor in accordance with the contour of the roadway indicated by the digital-map, and outputs a control-signal to the perception-sensor that adjusts the field-of-view of the perception-sensor.

Abstract: A tracking system for at least partial automated operation of a host vehicle is configured to detect and monitor a moving object that may be at least momentarily, and at least partially, obstructed by an obstruction. The tracking system includes an object device and a controller. The object device is configured to detect the object with respect to the obstruction by monitoring for object and the obstruction at a prescribed frequency, and output a plurality of object signals at the prescribed frequency. The controller is configured to receive and process the plurality of object signals to recognize the object, determine a reference point of the object, and utilize the reference point to determine a true speed of the object as the object is increasingly or decreasingly obstructed by the obstruction.

Abstract: An open-loop brake control system for an automated vehicle includes a brake-unit and a controller. The brake-unit varies brake-pressure to operate brakes of a host-vehicle. The controller is in communication with the brake-unit. The controller operates the brake-unit to an initial-pressure to initiate braking of the host-vehicle in accordance with a brake-model that characterizes vehicle-deceleration versus the initial-pressure based on a time-of-operation of the brakes.

Abstract: A navigation system for use on an automated vehicle includes a global-positioning-system-receiver (GPS-receiver), a vehicle-to-vehicle-transceiver (V2V-transceiver), an object-detector, and a controller. The GPS-receiver indicates a receiver-coordinate of a host-vehicle. The receiver-coordinate is characterized by a receiver-error. The V2V-transceiver receives a GPS-coordinate from each of a plurality of other-vehicles proximate to the host-vehicle. The object-detector determines a distance and a direction relative to the host-vehicle to each of the plurality of other-vehicles. The controller is in communication with the GPS-receiver, the V2V-transceiver, and the object-detector.

Abstract: A navigation system for use on an automated vehicle includes a global-positioning-system-receiver (GPS-receiver), a vehicle-to-vehicle-transceiver (V2V-transceiver), an object-detector, and a controller. The GPS-receiver indicates a receiver-coordinate of a host-vehicle. The receiver-coordinate is characterized by a receiver-error. The V2V-transceiver receives a GPS-coordinate from each of a plurality of other-vehicles proximate to the host-vehicle. The object-detector determines a distance and a direction relative to the host-vehicle to each of the plurality of other-vehicles. The controller is in communication with the GPS-receiver, the V2V-transceiver, and the object-detector.