Described are techniques for interleaving range and Doppler radar processing. A data cube is memory accessed differently, from one look period to the next, which allows Doppler processing for a current look period to happen in parallel with range processing for a next look period. Range processing for a first look period writes to rows of the data cube; Doppler processing reads from and empties its columns. But before Doppler processing can finish, a second look period begins. Rather than re-writing to the rows, range processing in the second look period writes to the columns just emptied by the ongoing Doppler processing. Doppler processing for the first look period is allowed to finish by executing during processing idle times in the second period, e.g., in-between chirps. With better processor utilization, Doppler processing is afforded more time to do its complex operations, while keeping look periods as short as possible.

A vehicle mirror assembly includes a mirror base configured to attach one or more accessories to the mirror base at an attachment point. The mirror base is attachable to a vehicle door. The vehicle mirror assembly also includes a powerfold assembly. The powerfold assembly includes a motor configured to move the mirror base, a motor assembly shield, a powerfold motor frame surrounding the motor, and a detent mechanism located between the powerfold assembly and the mirror base. The powerfold assembly is located in the vehicle door and is configured to allow movement of the mirror base when the mirror base experiences impact. Methods of manufacturing and operating the mirror assembly are also disclosed.

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.

An electronic device includes a transmission antenna that transmits a transmission wave; a reception antenna that receives a reflected wave that is the transmission wave having been reflected; a control unit that detects an object that reflects the transmission wave, based on a transmission signal transmitted as the transmission wave and a reception signal received as the reflected wave; and a gain adjustment unit that adjusts a gain of the reception signal. The control unit performs control to transmit the transmission wave in at least two different modes. The gain adjustment unit adjusts the gain of the reception signal for each of the modes.

Example embodiments relate to methods and systems for implementing radar electronic support measure operations. A vehicle's processing unit may receive information relating to electromagnetic energy radiating in an environment of the vehicle that is detected using a vehicle radar system. The electromagnetic energy originated from one or more external emitters, such as radar signals transmitted by other vehicles. The processing unit may determine a spectrum occupancy representation that indicates spectral regions occupied by the electromagnetic energy and subsequently adjust operation of the vehicle radar system based on the spectrum occupancy representation to reduce or mitigate interference with the external emitters in the vehicle's environment. In some examples, the vehicle radar system may be switched to a passive receive-only mode to measure the electromagnetic energy radiating in the environment from other emitters.

Extrinsic calibration of a Light Detection and Ranging (LiDAR) sensor and a camera can comprise constructing a first plurality of reconstructed calibration targets in a three-dimensional space based on physical calibration targets detected from input from the LiDAR and a second plurality of reconstructed calibration targets in the three-dimensional space based on physical calibration targets detected from input from the camera. Reconstructed calibration targets in the first and second plurality of reconstructed calibration targets can be matched and a six-degree of freedom rigid body transformation of the LiDAR and camera can be computed based on the matched reconstructed calibration targets. A projection of the LiDAR to the camera can be computed based on the computed six-degree of freedom rigid body transformation.

The present disclosure relates to a vehicle. The vehicle includes a first set of cameras, including a first subset of cameras facing to the front of the vehicle; a second set of cameras, with focal lengths less than those of the first set of cameras, the second set of cameras including a second and a third subset of cameras, the second subset of cameras facing to the front of the vehicle, and third subset of cameras facing to a side front and/or a side of the vehicle; and a third set of cameras, with focal lengths less than those of the second set of cameras, the third set of cameras including a fourth and a fifth subset of camera, the fourth subset of cameras facing to the front of the vehicle, and the fifth subset of camera facing to the side front and/or side of the vehicle.

The invention relates to a method and a motor vehicle comprising a sensor assembly for a 360° detection of the motor vehicle surroundings. The sensor assembly has multiple sensors of the same type, wherein each of the multiple sensors has a specified detection region and the sensors are distributed around the exterior of the motor vehicle such that the detection regions collectively provide a complete detection zone which covers the surroundings in a complete angle about the motor vehicle at a specified distance from the motor vehicle. The sensors are each designed to detect the surroundings in their respective detection region as respective sensor data in respective successive synchronized time increments. The sensor assembly has a pre-processing mechanism which fuses the sensor data of each of the sensors in order to generate a three-dimensional image of the surroundings for a respective identical time increment and provides same in a common database.

A vehicle includes: recognizing a forward vehicle in response to the processing of image data captured by an image sensor disposed at the vehicle so as to have a field of view of the outside of the vehicle; obtaining a distance from the forward vehicle in response to the processing of detecting data captured by a radar disposed at the vehicle so as to have a detecting area of the outside of the vehicle; obtaining a change amount of vertical movement of the forward vehicle in the image data in response to the distance from the forward vehicle that is equal to or less than a reference distance; obtaining a height of an obstacle on a road surface corresponding to the change amount; obtaining the height of the obstacle on the road surface in the image data in response to the distance from the forward vehicle that exceeds the reference distance; identifying a driving speed of the vehicle; identifying a reference height corresponding to the driving speed of the vehicle; and outputting deceleration guide information in response to the height of the obstacle on the road surface that is greater than or equal to the reference height.

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.