A method for evaluating an angular position of an object recognized on the basis of radar data, the radar data being ascertained by a radar device. The method includes: ascertaining of an intrinsic speed of the radar device; ascertaining a relative speed of the recognized object in relation to the radar device, using the ascertained radar data; ascertaining at least one angular test region using the ascertained intrinsic speed and the ascertained relative speed, the at least one angular test region corresponding to possible stationary objects that have a relative speed that substantially corresponds to the ascertained relative speed; and ascertaining whether an azimuth angle of the recognized object lies in the ascertained angular test region.

In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

A vehicle radar system (3) which, for each one of a plurality of radar cycles, is arranged to, provide a measured azimuth angle (θ.sub.m) and radial velocity (v.sub.dm) for a first plurality of detections (9, 20). For each one of the plurality of radar cycles, the radar system (3) is arranged to select one of these detections for each one of two velocity components (v.sub.x, v.sub.y) in a set of components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) to be determined; select one detection from a second plurality of detections (9, 20) for each one of at least one corresponding acceleration component (a.sub.x, a.sub.y; a); calculate the components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) for the selected detections; determine a calculated radial velocity (v.sub.dc) for each one of at least a part of the other detections in the first plurality of detections (9, 20) using the calculated components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a); determine an error between each calculated and measured radial velocity (v.sub.dc, v.sub.dm); and determine the number of inliers. The set of components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) that results in the largest number of inliers is then chosen.

A radar device includes a first radar and a second radar that are arranged at positions separated from each other, and of which detection ranges are at least partially overlapped; and a detection unit that detects at least one of a moving direction and a velocity vector of a reflection point existing in an overlapped portion of the detection ranges, based on a first detection result of the first radar and a second detection result of the second radar.

A communication device includes a target locating unit configured to locate a position of a target having a risk of approaching a moving body. The communication device includes a transmission unit configured to transmit request information including positional information of an external terminal, for which the positional information is requested, based on the position of the target located by the target locating unit. The communication device includes a reception unit configured to receive response information with respect to the request information. The transmission unit is configured to transmit warning information based on the positional information of the external terminal included in the response information.

The present disclosure provides a rear cross collision detection system and method. The rear cross collision detection system includes an obstacle detection unit configured to receive an electromagnetic wave reflected from a reflection point of an obstacle in order to detect the position of the obstacle, an identity determination unit configured to, when a plurality of obstacles is detected by the obstacle detection unit, determine whether the plurality of obstacles is the same object based on the positions or speeds of the detected obstacles, and a collision determination unit configured to determine the possibility of a collision with the plurality of obstacles detected by the obstacle detection unit based on the result of the determination by the identity determination unit.

A personal proximity warning device for warning a user of a rear approach of a person includes a housing that is removably attachable to an item worn by the user. A camera and a sensor attached to the housing capture an image of and sense motion within an area proximate to the user. A battery, a transceiver, and a microprocessor are positioned in the housing. The microprocessor selectively actuates the camera and the transceiver to capture and transmit the image of the area, respectively, and actuates the transceiver to transmit an alert. Programming code, which is selectively positionable on an electronic device of the user, enables the electronic device to receive the alert and the image, to override audio to earbuds being worn by the user, and to broadcast the alert to the user via the earbuds.

This disclosure describes a radar system configured to estimate a yaw-rate and an over-the-ground (OTG) velocity of extended targets in real-time based on raw radar detections. This disclosure further describes techniques for determining instantaneous values of lateral velocity, longitudinal velocity, and yaw rate of points of a rigid body in a radar field-of-view (FOV) of the radar system.

A computer implemented method for determining the position of a vehicle, wherein the method comprises: determining at least one scan comprising a plurality of detection points, wherein each detection point is evaluated from a signal received at the at least one sensor and representing a location in the vehicle environment; determining, from a database, a predefined map, wherein the map comprises a plurality of elements in a map environment, each of the elements representing a respective one of a plurality of static landmarks in the vehicle environment, and the map environment representing the vehicle environment; matching the plurality of detection points and the plurality of elements of the map; determining the position of the vehicle based on the matching; wherein the predefined map further comprises a spatial assignment of a plurality of parts of the map environment to the plurality of elements, and wherein the spatial assignment is used for the matching.

A computer implemented method for determining the position of a vehicle, wherein the method comprises: determining at least one scan comprising a plurality of detection points, wherein each detection point is evaluated from a signal received at the at least one sensor and representing a location in the vehicle environment; determining, from a database, a predefined map, wherein the map comprises a plurality of elements in a map environment, each of the elements representing a respective one of a plurality of static landmarks in the vehicle environment, and the map environment representing the vehicle environment; matching the plurality of detection points and the plurality of elements of the map; determining the position of the vehicle based on the matching; wherein the predefined map further comprises a spatial assignment of a plurality of parts of the map environment to the plurality of elements, and wherein the spatial assignment is used for the matching.