A method for testing a radar device including a master radar device and a slave radar device includes: moving a test target through a field of view of the radar device; measuring an angle of the test target with respect to the radar device at a plurality of positions; evaluating the reliability of the measured angles; and specifying at least one of a usable field of view of the radar device or a number of required repetitions for a reliable measurement based on the evaluating.

An axial displacement estimation device estimates an axial displacement angle of a radar apparatus mounted on a mobile body. The axial displacement estimation device uses a plurality of detection values acquired by mutually different plurality of modulation methods to estimate an axial displacement angle for each of the plurality of modulation methods. The axial displacement estimation device determines whether a predetermined allowable condition is met based on a plurality of axial displacement angle estimation results estimated using a plurality of detection values corresponding to respective plurality of modulation methods. The axial displacement estimation device utilizes at least one of a plurality of axial displacement angle estimation results when determined that the predetermined allowable condition is met.

An axial displacement angle estimation device repeatedly calculates an axial displacement angle based on the detection result of the radar apparatus. The axial displacement angle estimation device extracts the axial displacement angle included in a predetermined extraction angle range among a plurality of axial displacement angles, and calculate an average value of the extracted plurality of axial displacement angles to be an axial displacement angle average value. The axial displacement angle estimation device determines, based on the axial displacement angle average value, whether a predetermined allowable condition is met. The axial displacement angle estimation device utilizes, when determined that the predetermined allowable condition is met, the axial displacement angle average value as an estimation result of the axial displacement angle.

An angle measuring device includes an antenna device having antenna elements equally spaced along a first axis and a second axis, respectively, a selecting unit that selects phase differences with which a variance thereof becomes a predetermined value or less, from a plurality of phase differences of signals received from a transmission device by the antenna elements, an azimuth angle computing unit that computes an azimuth angle of the transmission device from a ratio of a first phase difference between signals received by two antenna elements spaced by a predetermined distance along the first axis and a second phase difference between signals received by two antenna elements space by the predetermined distance along the second axis, and an elevation angle computing unit that computes an elevation angle of the transmission device, based on the computed azimuth angle and the first or second phase difference.

A method for identifying misalignments of a sensor of a sensor system of a motor vehicle, having at least one further sensor. The method includes ascertaining an associated position of an object in an overlap zone of at least two detection zones by way of the respective sensor which forms the overlap zone, comparing the ascertained positions with one another and, in the event of a deviation of the positions, identifying a misalignment. Alternatively or additionally, the movement of an object in a detection zone of a sensor can be tracked and used for identifying a misalignment.

A calibration pipeline for 6DoF alignment parameters for an autonomous vehicle includes an automated driving controller instructed to receive inertial measurement unit (IMU) poses and final radar poses and determine smoothened IMU poses from the IMU poses and smoothened final radar poses from the final radar poses. The automated driving controller aligns the smoothened IMU poses and the smoothened final radar poses with one another to create a plurality of radar-IMU A, B relative pose pairs. The automated riving controller determines a solution yielding a threshold number of inliers of further filtered radar-IMU A, B relative pose pairs, randomly samples the further filtered radar-IMU A, B relative pose pairs with replacements several times to determine a stream of filtered radar-IMU A, B relative pose pairs, and solves for a solution X for the stream of filtered radar-IMU A, B relative pose pairs.

A multiple-input multiple-output (MIMO) radar system, including: a plurality of transmit channels configured to sequentially transmit signals with transmit-channel-designated Doppler division multiplexing (DDM) modulations; and processing circuitry configured to: determine, for each of the transmit channels, an impulse response of phase modulation errors due to DDM coupling of the respective transmit channel from each of the other transmit channels; and generate, based on the impulse response, a reconstruction matrix of modulation DDM coupling factors.

Techniques are discussed herein for analyzing radar data to determine that radar noise from one or more target detections potentially conceals additional objects near the target detection. Determining whether an object may be concealed can be based at least in part on a radar noise level based on a target detection, as well as distributions of radar cross sections and/or doppler data associated with particular object types. For a location near a target detection, a radar system may determine estimated noise levels, and compare the estimated noise levels to radar cross section probabilities associated with object types to determine the likelihood that an object of the object type could be concealed at the location. Based on the analysis, the system may determine a vehicle trajectory or otherwise may control a vehicle based on the likelihood that an object may be concealed at the location.

The present disclosure provides a circuitry for estimating a mounting angle of a radar sensor with respect to a mobile platform coordinate system. The circuitry is configured to estimate a first velocity of a first radar sensor, based on first radar detection data obtained from the first radar sensor, wherein the first radar detection data is indicative of at least two targets; estimate a second velocity of a second radar sensor, based on second radar detection data obtained from the second radar sensor, wherein the second radar detection data is indicative of at least two targets, and estimate the mounting angle of the first radar sensor, based on the estimated first velocity, the estimated second velocity, a predefined first mounting position of the first radar sensor with respect to the mobile platform coordinate system and a predefined second mounting position of the second radar sensor with respect to the mobile platform coordinate system.

An axial displacement angle estimation device repeatedly calculates an axial displacement angle based on the detection result of the radar apparatus. The axial displacement angle estimation device extracts the axial displacement angle included in a predetermined extraction angle range among a plurality of axial displacement angles, and calculate an average value and a median value of the extracted plurality of axial displacement angles to be an axial displacement angle average value and an axial displacement median value. The axial displacement angle estimation device determines, based on the axial displacement angle average value and the axial displacement angle median value, whether a predetermined allowable condition is met. The axial displacement angle estimation device utilizes, when determined that the predetermined allowable condition is met, the axial displacement angle average value as an estimation result of the axial displacement angle.