Abstract: This document describes techniques and systems for crowd-sourced continuous update data collection for automotive applications. Each vehicle of a vehicle fleet may include a logging system, a data query daemon, and a user application. The logging system logs application metadata or sensor data for a host vehicle. The data query daemon receives data queries from a remote data query system and detects the requested data in the application metadata and/or the sensor data being logged. The user application may provide information related to the data query to the vehicle user and request permission to execute the data query. In this way, application providers for ADAS and AD systems may collect relevant data from an existing vehicle fleet to develop updated or new applications without incurring the recurring cost of expensive data collection campaigns.

Abstract: This document describes techniques, apparatuses, and systems for radar interference mitigation using signal pattern matching. Radar signals (e.g., chirps) received by a radar system may include interference from other nearby radar systems. The interference can result in reduced sensitivity of the radar system. The techniques, apparatuses, and systems described herein mitigate the interference by selecting an uncorrupted segment of the radar signal that neighbors a corrupted segment, analyzing the radar signal to identify a match segment that has similar signal characteristics to the neighbor segment, and replacing the corrupted segment with a segment that is adjacent to the match segment. In this manner, a noise floor of the radar system may be lowered, leading to increased sensitivity.

Abstract: A method of measuring elevational misalignment of an automotive radar sensor in a factory or service setting utilizes two or more targets that can be discriminated by the radar system. The targets are positioned at different elevational angles with respect to the desired elevation axis, and the degree of elevational misalignment is determined according to the ratio or difference in return signal amplitude for the two targets. Discrimination of the targets may be ensured by differences in range, azimuth angle or Doppler. Since the amplitude difference is a measure of misalignment, the measurement may be used to verify proper alignment or to indicate the amount of adjustment required to achieve proper alignment.

Abstract: An apparatus and method for detecting radar system blockage includes a radar system (10) having an antenna unit (14) configured to transmit radar signals and receive reflected radar signals. In one embodiment, fixed frequency continuous wave radar signals are transmitted, and corresponding reflected signals are sampled and processed to determine a mainbeam clutter signal peak in frequency bins near those corresponding to vehicle speed. If this peak is less than a power threshold, the antenna unit (14) is at least partially blocked. In another embodiment, a number of most recent reflected tracking signal amplitudes are sampled, normalized to a predefined range value and filtered to produce a smoothed tracking amplitude. If the smoothed tracking amplitude drops below an amplitude threshold, the antenna unit (14) is at least partially blocked. The two embodiments may be combined to determine a radar antenna blockage status as a function of both techniques.

Abstract: An apparatus and method for detecting radar system blockage includes a radar system having an antenna unit configured to transmit radar signals and receive reflected radar signals. In one embodiment, fixed frequency continuous wave radar signals are transmitted, and corresponding reflected signals are sampled and processed to determine a mainbeam clutter signal peak in frequency bins near those corresponding to vehicle speed. If this peak is less than a power threshold, the antenna unit is at least partially blocked. In another embodiment, a number of most recent reflected tracking signal amplitudes are sampled, normalized to a predefined range value and filtered to produce a smoothed tracking amplitude. If the smoothed tracking amplitude drops below an amplitude threshold, the antenna unit is at least partially blocked. The two embodiments may be combined to determine a radar antenna blockage status as a function of both techniques.

Abstract: An object sensing system is capable of distinguishing an overhead roadway object, that is not in a host vehicle path, from a substantially motionless roadway object that is in the vehicle path. Initially, a plurality of sensor scan signals are provided into an anticipated path of a host vehicle. Next, a plurality of object return signals that correspond to reflections of the plurality of sensor scan signals from at least one detected stationary object are received. Then, an average amplitude slope of the return signals as a function of the range to the at least one detected stationary object is determined. A sufficiently positive amplitude slope identifies the detected stationary object as an overhead roadway object that is not in the vehicle path. A sufficiently negative amplitude slope identifies the detected stationary object as a substantially motionless roadway object that is in the vehicle path.

Abstract: An improved system for accurately determining the travel path of a host vehicle and the azimuth angle of a target vehicle through an automatic calibration that detects and compensates for FLS mis-alignment and curve sensor drift. Selected FLS tracking data (range and azimuth angle) are transformed to cartesian coordinates and characterized by a second order curve fitting technique to determine both FLS misalignment and curve sensor bias. Successively determined FLS misalignment and curve sensor bias values are averaged and used to correct subsequently supplied azimuth angle and curve sensor data, thereby compensating an underlying control for both sensor misalignment and curve sensor bias.

Abstract: A method of operation for a motor vehicle object detection system is described, in which the extent angle of an identified target is accurately determined by applying a point source scatterer identification technique to data at the periphery of a composite return. Return amplitude data from one or more complete scans of the sensor beam are collected and compared with a target threshold to identify objects in the viewing angle, thereby forming an array of amplitude data associated with successive beam positions for each identified object. In each array, the left-most and right-most pair of amplitude data points associated with successive beam positions are selected and individually used to compute the angle of a point source scatterer which would be responsible for that data pair.

Abstract: This disclosure relates to a system for automatically measuring and compensating for any angle of misalignment of a forward-looking sensor of a vehicle. The sensor provides data representing the azimuth angle and the range of a target such as another vehicle. For each angle and range reading of the sensor, the location point of the target is estimated; after a series of such readings, the trajectory line of the target is estimated. The angle of misalignment is estimated from the angle between the trajectory line and the path of travel of the host vehicle. In subsequent readings of the sensor, the estimated angle of misalignment is subtracted from the measured azimuth angle to produce an accurate azimuth angle of the target. The accurate azimuth angle is provided for use by another unit such as a collision warning system and/or an intelligent cruise control.