A method of implementing frequency division multiple access (FDMA) in a radar system of a vehicle includes transmitting a chirp signal from each of a plurality of transmit elements of the radar system simultaneously. The chirp signal transmitted by each of the plurality of transmit elements increases or decreases linearly in frequency over a frequency range over a duration of time and the frequency range of the chirp signal transmitted by adjacent ones of the plurality of transmit elements partially overlapping. The method also includes processing a reflection received based on reflection of the chirp signal transmitted by the plurality of transmit elements by one or more objects and controlling an operation of the vehicle based on locating the one or more objects.

Systems and methods are described to identify motion events on a sloped surface, such as a mountainside, using transmitted and received radio frequency (RF) chirps. A one-dimensional array of receive antennas can be digitally beamformed to determine azimuth information of received reflected chirps. Elevation information can be determined based on time-of-flight measurements of received reflected chirps and known distances to locations on the sloped surface. Motion events may be characterized by deviations in return power levels and/or return phase shifts. The systems and methods may, for example, be used to provide real-time detection of avalanches and/or landslides.

Systems and methods are described to identify motion events on a sloped surface, such as a mountainside, using transmitted and received radio frequency (RF) chirps. A one-dimensional array of receive antennas can be digitally beamformed to determine azimuth information of received reflected chirps. Elevation information can be determined based on time-of-flight measurements of received reflected chirps and known distances to locations on the sloped surface. Motion events may be characterized by deviations in return power levels and/or return phase shifts. The systems and methods may, for example, be used to provide real-time detection of avalanches and/or landslides.

Method and related apparatus for determining the geometrical dimensions of a wheel, or at least one part of a wheel, with particular reference to vehicle wheels, in the context of a wheel maintenance process. This method uses contactless sensors which comprise a scanning radar system, preferably a millimeter-wave radar system, to scan the wheel, or at least one part of the wheel, quickly and accurately, moving said contactless sensors along a trajectory lying in at least one plane which is perpendicular to a central axis of the wheel.

An apparatus for monitoring the surrounding environment of a vehicle includes: a plurality of detection sensors to detect an object outside the vehicle according to a frame at a predefined period; and a controller to extract a stationary object from among objects detected by the detection sensors, to map the stationary object to a grid map, to calculate an occupancy probability parameter indicative of a probability that the stationary object will be located on a grid of the grid map, and to monitor the surrounding environment of the vehicle based on the occupancy probability parameter. The controller maps the stationary object to the grid map while updating the grid map by changing an index of each grid constituting the grid map according to behavior information of the vehicle.

A computer includes a processor and a memory storing instructions executable by the processor to receive radar data including a radar pixel having a radial velocity from a radar; receive camera data including an image frame including camera pixels from a camera; map the radar pixel to the image frame; generate a region of the image frame surrounding the radar pixel; determine association scores for the respective camera pixels in the region; select a first camera pixel of the camera pixels from the region, the first camera pixel having a greatest association score of the association scores; and calculate a full velocity of the radar pixel using the radial velocity of the radar pixel and a first optical flow at the first camera pixel. The association scores indicate a likelihood that the respective camera pixels correspond to a same point in an environment as the radar pixel.

Disclosed herein are an apparatus and method for monitoring a surrounding environment of a vehicle, the apparatus including a sensor unit including a plurality of detection sensors for detecting an object outside a vehicle according to a frame at a predefined period, and a controller configured to extract a stationary object from among the outside objects detected by the sensor unit, to map the extracted stationary object to a grid map, to calculate an occupancy probability parameter, indicative of a probability that the stationary object will be located on a grid of the grid map, from the result of mapping, and to monitor the surrounding environment of the vehicle by specifying a grid on which the stationary object is located in the grid map, based on the occupancy probability parameter.

A method with grid map generation includes: determining position information of a moving object corresponding to a first time step based on a position sensor of the moving object; determining detection information of nearby objects present around the moving object corresponding to the first time step based on a radio detection and ranging (radar) sensor of the moving object; selecting a still object in a moving range of the moving object from among the nearby objects, based on the position information and the detection information; updating a point cloud determined based on the radar sensor in a previous time step of the first time step, based on the position information and on detection information of the still object comprised in the detection information of the nearby objects; and generating a grid map based on an occupancy probability for each grid of the updated point cloud.

A device and method for computing a relative direction to a Target, the device including a single antenna exchanging wireless signals with the Target, where the device moves from an initial position to additional positions, where in both positions the single antenna exchanges signals with the Target and the device measures distance-calculation-enabling properties of the wireless signal, where the device then estimates a distance to the Target based on the measured properties, where the device then computes a change in a distance between the DF electronic device and the Target according to the measured distance-calculation-enabling properties of the wireless signals in the initial position and the additional position, where the device then computes a relative direction of the Target from the DF electronic device's heading based on the change between the calculated distances and an associated changes in position of the DF electronic device.

This document describes techniques and systems of a radar system with sequential two-dimensional (2D) angle estimation. The radar system can efficiently estimate angles in two dimensions for detections. For example, a radar system includes a processor and an antenna that can receive electromagnetic energy reflected by one or more objects. The antenna includes a 2D array that includes antenna elements positioned in a first dimension and a second dimension. The processor can determine, using electromagnetic energy received by the 2D array, first angles in the first dimension associated with a detection of the one or more objects. The processor can then steer the 2D array to the first angle to generate a steered 1D array for each first angle. Using the steered 1D array, the processor can determine second angles associated with the first angle for the detection.