An odometry solution for a device within a moving platform is provided using a deep neural network. Radar measurements may be obtained, such that static objects are detected based at least in part on the obtained radar measurements. Odometry information for the platform is estimated based at least in part on the detected static objects and the obtained radar measurements.

A radar sensing system includes at least one transmitter, at least one receiver and a processor. The at least one transmitter transmits a power shaped RF signal. The transmitted RF signal decreases in power over time. The at least one receiver receives a reflected RF signal. The reflected RF signal is the transmitted RF signal reflected from targets in the environment. The reflected RF signal is down-converted and the result provided to the processor. The processor samples the down-converted reflected RF signal during a plurality of time intervals to produce a sampled stream. The different time intervals of the plurality of time intervals will contain different signal levels of RF signals reflected from the targets. The processor also selects samples in the sampled stream over a selected time interval of the plurality of time intervals that is free of RF signals reflected off of near targets.

A variety of methods, controllers and algorithms are described for fusing sensor data obtained from different vehicles for use in the at least partial automatic control of a particular vehicle. The described techniques are well suited for use in conjunction with a variety of different vehicle control applications including platooning, convoying and other connected driving applications including tractor-trailer truck platooning applications.

A vehicle traveling control apparatus includes an obtaining unit, a detector, and a controller. The obtaining unit obtains traveling environment information. The traveling environment information includes at least lane line information of a lane along which an own vehicle travels and preceding vehicle information. The detector detects traveling information of the own vehicle. The controller performs a steering control on a basis of the traveling environment information and the traveling information. When the obtaining unit obtains only the lane line information and when the obtaining unit obtains both the lane line information and the preceding vehicle information, the controller performs the steering control on a basis of the lane line information.

A circuit configuration for radar applications having a printed board and semiconductor modules mounted on it, each of the semiconductor modules including an integrated circuit, a rewiring layer for connecting the integrated circuit to the printed board and at least one antenna element integrated into the semiconductor module and connected to the integrated circuit for transmitting and/or receiving radar signals, the integrated circuit including at least one HF oscillator and a frequency splitter connected to the HF oscillator, the circuit configuration including phase-locked loops for controlling the HF oscillators, each of the phase-locked loops having the frequency splitter and a phase detector for comparing a split-frequency signal of the HF oscillator with a reference signal, and the reference signals may be fed to the phase-locked loops via the printed board.

A deceleration detection apparatus including an object detection device that detects an object around a subject vehicle, a rainfall detection device that detects a rainfall state around the subject vehicle, a brightness detection device that detects a brightness around the subject vehicle, and an electronic control unit including a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform determining whether a forward vehicle traveling in front of the subject vehicle decelerates, based on an amount of change in a vehicle speed of the forward vehicle detected by the object detection device, a lighting state of a brake lamp of the forward vehicle detected by the object detection device, the rainfall state detected by the rainfall detection device, and the brightness detected by the brightness detection device.

A device includes one or more processors configured to receive radar data, and generate a plurality of occupancy grid maps based on the radar data. Each of the occupancy grid maps corresponds to a respective one of a plurality of candidate angles. The one or more processors is also configured to select one of the candidate angles as a sensor mount angle based on the occupancy grid maps, and trigger an action based on the sensor mount angle and the radar data.

The present application relates to a method for performing off road adaptive cruise control in a host vehicle including controlling a vehicle speed at a first speed according to an adaptive cruise control algorithm, detecting an obstacle, using a sensor, within a host vehicle path, reducing the vehicle speed to a reduced speed in response to the detection of the obstacle, detecting a vehicle contact with the obstacle in response to a first inertial measurement unit measurement, applying a brake friction force and increasing an engine torque in response to detecting the vehicle contact with the obstacle, determining a traverse of the obstacle in response to a second inertial measurement unit measurement, and resuming the control of the vehicle speed at the first speed in response to the traverse of the obstacle.

Various exemplary embodiments relate to a method for determining the velocity of an object using radar system having a processor, including: receiving, by a processor, a first digital signal corresponding to a first transmit signal; receiving, by the processor, a second digital signal corresponding to a second transmit signal; processing the first digital signal to produce a first range/relative velocity matrix; detecting objects in the first range/relative velocity matrix to produce a first detection vector; unfolding the first detection vector; processing the second digital signal to produce a second range/relative velocity matrix; interpolating the second range/relative velocity matrix in the relative velocity direction wherein the interpolated second range/relative velocity matrix has a frequency spacing corresponding to the frequency spacing of the first range/relative range velocity matrix in the relative velocity direction; detecting objects in the second range/relative velocity matrix to produce a second detection vector; unfolding the second detection vector; and determining a true velocity of the detected objects based upon the unfolded first and second detection vectors.

A radar sensing system for a vehicle includes at least one transmitter, at least one receiver, and a processor. The at least one transmitter is operable to transmit a radio signal at one of a plurality of carrier frequencies. The at least one receiver is operable to receive a radio signal which includes a reflected radio signal that is the transmitted radio signal reflected from an object. The at least one receiver is operable to receive an interfering radio signal transmitted by a transmitter of another radar sensing system. The processor is operable to control the at least one transmitter to selectively transmit radio signals on one of the plurality of carrier frequencies. The processor is further operable to at least one of select a carrier frequency with reduced interference and avoid interference from the other radar sensing system.