A detection system and method for characterizing targets in an environment around vehicle. Signals are transmitted into the environment and return signals that have reflected off targets are received. The targets are initial characterized based on their return signals and the ego-motion of vehicle as determined from sensors on the vehicle. Corrections are determined based on the position of targets with respect to the azimuth range of the detection system and the side of the target with respect to a boresight. The initial characterizations are then adjusted to obtain a final target characterization.

Disclosed is a method and apparatus for processing a radar signal by correcting a phase distortion. The method includes generating radar data based on a radar transmission signal transmitted through an array antenna of a radar sensor based on a frequency modulation model and a radar reception signal received through the array antenna as the radar transmission signal is reflected by a target, correcting the radar data using a correction vector for correcting a feedline error occurring due to a feedline delay difference between channels of the array antenna, and estimating a direction of arrival corresponding to the corrected radar data using a direction matrix reflecting a phase shift of the corrected radar data according to frequency modulation characteristics of the frequency modulation model.

Far-field antenna pattern measuring system and solution using real-time synchronization of height information helps better the detecting and tracking quality of the 3D radar, paving the way to determine the pattern's practical shape and the impacts of the ground on it to find the accurate height tracking methods. The proposed system is comprised of 5 steps: step 1: get and save height information; step 2: get and save power information; step 3: plot the obtained pattern shape; step 4: determine the obtained pattern parameters; step 5: save lobes parameters into a table and assess in the association with the simulation results.

Embodiments of the present disclosure provide a method, an apparatus, a device, and a medium for determining an angle of yaw, relating to a field of automatic driving. The method includes: obtaining, during a vehicle being driving straightly on a straight road, data of each obstacle in an environment located by the vehicle, the data of each obstacle being detected by a millimeter wave radar sensor located in the vehicle, at least one metal obstacle being provided on the straight road; recognizing the metal obstacle based on the data of each obstacle, and obtaining a metal obstacle line by fitting positions of the metal obstacle at different time points; and determining an angle between the metal obstacle line and a direction of a vehicle body as an angle of yaw between the millimeter wave radar sensor and the vehicle body.

This document includes techniques, apparatuses, and systems related to a waveguide with squint alteration, which can improve electromagnetic wave operation. In aspects, squint of electromagnetic waves pertaining to waveguides may be altered and improved. In this example, the techniques also enable the waveguide to direct electromagnetic waves according to respective chambers and one or more apertures, improving the quality of signals transmitted and received. The chambers may be divided according to a divider extending toward an opening of the waveguide, directing electromagnetic waves between the opening and the one or more apertures.

An information acquisition section repeatedly acquires observation point information including an observation direction from a radar device. An axial misalignment acquisition section acquires an axial misalignment amount of an actual mounting direction representing the actual orientation of the radar device with respect to a reference mounting direction of the radar device. An aliasing calculation section calculates an aliasing direction of the observation direction included in the observation point information. An instantaneous determination section determines, as an actual direction, one of the observation direction and the aliasing direction that is closer to the reference mounting direction, which is estimated from the axial misalignment amount and the actual mounting direction.

The disclosed technology is a vehicle object detection radar system incorporating an inertial measurement unit (IMU). The IMU may obtain input signals of, or relating to, for example, relative motion, acceleration, object detection angle, sway and vibration of the vehicle and/or any towed trailer, and process them for relay to the vehicle operator as operating information and possibly alarms. Also, the obtained IMU signals may be relayed directly to the vehicle's object detection radar systems and central control for automatic adjustment and control thereof.

In one embodiment, a method includes accessing sensor data generated by one or more sensors of the vehicle, determining that a first beam angle of a radar of the vehicle provides insufficient radar visibility of a current road condition according to one or more criteria based on the sensor data, determining an amount of adjustment needed to adjust the first beam angle of the radar, adjusting the first beam angle of the radar to a second beam angle based on the determined amount of adjustment, and detecting one or more objects based on the second beam angle of the radar.

A method includes measuring, with a sensor, a distance between a vehicle in a field of view of the sensor and the sensor, receiving a V2X communication from the vehicle indicative of the positional information of the vehicle, synchronizing the measurement from the sensor with the positional information received from the vehicle, and, using the synchronized data, determining an angular offset of the sensor, the angular offset being the angle between an azimuth of the sensor and the North direction.

The present disclosure is directed to checking and updating the calibration of a sensing apparatus at an autonomous vehicle (AV). After a sensing apparatus of an AV has been initially calibrated (e.g., when the AV is manufactured) calibration of that sensing apparatus may be checked or updated using data collected from similar vehicles of a fleet of vehicles. Each of the different vehicles of this fleet may identity its location and report that location. A first of these vehicles may receive data that identifies the location of a second vehicle. A sensing apparatus of the first vehicle may then identify locations of features at the second vehicle and a processor of the sensing apparatus may perform calculations to identify whether calibration of the sensing apparatus has changed. Parameters that adjust the calibration of the sensing apparatus may then be updated to maintain calibration of a sensing apparatus within acceptable tolerances.