A traffic radar system comprises a first radar transceiver, a second radar transceiver, a speed determining element, and a processing element. The first radar transceiver transmits and receives radar beams and generates a first electronic signal corresponding to the received radar beam. The second radar transceiver transmits and receives radar beams and generates a second electronic signal corresponding to the received radar beam. The speed determining element determines and outputs a speed of the patrol vehicle. The processing element is configured to receive a plurality of digital data samples derived from the first or second electronic signals, receive the speed of the patrol vehicle, process the digital data samples to determine a relative speed of at least one target vehicle in the front zone or the rear zone, and convert the relative speed of the target vehicle to an absolute speed using the speed of the patrol vehicle.

A vehicle generates a city-scale map. The vehicle includes one or more Lidar sensors configured to obtain point clouds at different positions, orientations, and times, one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to perform registering, in pairs, a subset of the point clouds based on respective surface normals of each of the point clouds; determining loop closures based on the registered subset of point clouds; determining a position and an orientation of each of the subset of the point clouds based on constraints associated with the determined loop closures; and generating a map based on the determined position and the orientation of each of the subset of the point clouds.

A method for operating a radar system (210) in a vehicle (201), the method including establishing a wireless communication link (245) to a radio base station (250) in a wireless communication network (260), requesting a time-frequency resource (420, 430) for communicating with a network node (270) via the radio base station (250), receiving a transmission grant from the radio base station (250) for communicating with the network node (270) using the time-frequency resource (420, 430), transmitting a communications signal (245) in the time-frequency resource, and transmitting a radar signal (235) in the time-frequency resource.

In one embodiment, a method includes determining an operational status of a vehicle including a radar antenna. The operational status is related to autonomous-driving operations of the vehicle in an environment. The method includes determining an expected amount of signaling resources associated with the radar antenna to be utilized by the vehicle while the vehicle performs the autonomous-driving operations, based at least on the operational status of the vehicle and the environment. The method includes determining to switch one or more of the signaling resources associated with the radar antenna from a first mode to a second mode based on the expected amount of signaling resources to be utilized by the radar antenna while the vehicle performs the autonomous-driving operations. The method includes causing the one or more of the signaling resources associated with the radar antenna to switch from the first mode to the second mode.

A trailer-detection system includes a radar-sensor and a controller. The radar-sensor is used to determine a range, an azimuth-angle, and an elevation-angle of a radar-signal reflected by a trailer towed by a host-vehicle. The controller is in communication with the radar-sensor. The controller is configured to determine a size of the trailer towed by the host-vehicle based on the range, the azimuth-angle, and the elevation-angle of the radar-signal.

Provided herein is a system and method to determine a three-dimensional heading of a target. The system includes a radar sensor that obtains a three-dimensional snapshot of radar data comprising Doppler velocities and spatial positions of a plurality of detection points of a target, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform conducting a first estimation of a three-dimensional heading of the target based on the spatial positions; conducting a second estimation of the three-dimensional heading of the target based on the Doppler velocities; and obtaining a combined estimation of the three-dimensional heading of the target based on a weighted sum of the first estimation and the second estimation.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

This disclosure describes systems and methods for a ground-penetrating tailgate sensor system. An example method may also include transmitting, using a radar transceiver, a first radar signal towards a location above the tailgate. The example method may also include receiving, based on the tailgate being in a closed or open position and using the radar transceiver, a first return signal from an object located above the vehicle.

A device for detecting a rear collision of a vehicle, the device including a first sensor unit that is disposed on one side of a back of the vehicle and detects a target vehicle positioned behind the vehicle to generate first sensing data, a second sensor unit that is disposed on the other side of the back of the vehicle and detects the target vehicle to generate second sensing data, an ultrasonic sensor that is mounted on the back of the vehicle, and detects a proximity of the target vehicle to generate third sensing data, and a controller that determines a relative speed and a relative distance with the target vehicle using the first sensing data and the second sensing data, determines the proximity of the target vehicle using the third sensing data, and determines an output of a command of unfolding an airbag outwardly mounted on the back of the vehicle and an output of a command of controlling a vehicle headrest.

Provided is a scooter radar detection system for a scooter, including: a control module for controlling operation of the scooter radar detection system; two detection radars flanking a license plate, facing the rear of the scooter, and being in signal connection with the control module; two flash alert units disposed at rear-view mirrors on two sides of the scooter, respectively, and being in signal connection with the control module; and a vibration alert module disposed below a seat and being in signal connection with the control module.