A vehicle system includes a steering wheel configured to output an output based on an input from a user, and a controller configured to: determine a target orientation of front wheels of a vehicle based on vehicle environment information, determine whether an orientation of the front wheels of the vehicle based on the output from the steering wheel deviates from the target orientation, disengage the steering wheel from the front wheels in response to determination that the orientation of the front wheels deviates from the target orientation, adjust the orientation of the front wheels to the target orientation and provide a feedback in response to adjusting the orientation of the front wheels to the target orientation.

A radar data processing method and apparatus. The radar data processing apparatus calculates phase information of a radar signal received by a radar sensor, calculates noise representative information from the calculated phase information, and determines driving-related information based on the noise representative information and radar data calculated from the radar signal.

A near-range camera assembly for a vehicle is provided. The near-range camera assembly includes a LIDAR mount couplable to a vehicle. The LIDAR mount includes a first surface and a second surface that opposes the first surface. The near-range camera assembly includes a LIDAR unit removably coupled to the first surface LIDAR mount. The near-range camera assembly further includes a camera and a camera housing for the camera. The camera housing is removably coupled to the second surface LIDAR mount.

For example, a radar processor may include an input to receive radar Receive (Rx) information based on radar Rx signals received by a plurality of Radio Heads (RHs); and one or more Baseband (BB) Processing Units (BPUs) including a plurality of processing resources configured to generate radar information by processing the radar Rx information according to a plurality of BB-processing tasks. The one or more BPUs may be configured to allocate the plurality of processing resources to the plurality of RHs based on an RH to resource (RH-resource) allocation scheme. The RH-resource allocation scheme may be configured to define a plurality of RH-specific resource allocations for the plurality of RHs, respectively. For example, an RH-specific resource allocation for an RH may define a plurality of RH-allocated processing resources to perform the plurality of BB-processing tasks based on radar Rx information from the RH.

A radar system for a vehicle. The radar system has at least one central control unit for transmitting data and for processing received data, at least one radar sensor head, which is set apart from the central control unit and has at least one transmitting antenna for generating and at least one receiving antenna for receiving radar waves, and having at least one data line between the at least one central control unit and the at least one radar sensor head, with the at least one central control unit having a clock pulse generator for generating a reference frequency and the reference frequency being transmittable via the at least one data line to the at least one radar sensor head.

An apparatus and a method for controlling a vehicle calculate a distance from a following vehicle and a relative speed of the following vehicle, if the following vehicle is detected on the rear side of a host vehicle based on detection information received from a detection module detecting an object around the host vehicle, determine a probability of a potential collision of the following vehicle with the host vehicle based on the distance from the following vehicle and the relative speed of the following vehicle, and accelerate or decelerate a traveling speed of the host vehicle, or adjust brake torque of the host vehicle, if the potential collision of the following vehicle with the host vehicle is predicted. When a probability of a potential collision with the following vehicle is predicted, injuries to a driver and occupants can be prevented or reduced.

A sensor assembly for autonomous vehicles includes a side mirror assembly configured to mount to a vehicle. The side mirror assembly includes a first camera having a field of view in a direction opposite a direction of forward travel of the vehicle; a second camera having a field of view in the direction of forward travel of the vehicle; and a third camera having a field of view in a direction substantially perpendicular to the direction of forward travel of the vehicle. The first camera, the second camera, and the third camera are oriented to provide, in combination with a fourth camera configured to be mounted on a roof of the vehicle, an uninterrupted camera field of view from the direction of forward travel of the vehicle to a direction opposite the direction of forward travel of the vehicle.

Provided are methods for determination and correction of boresight shift caused by the installation of an optical layer over a camera assembly. Some methods described include performing a first calibration prior to installation of the window, performing a second calibration after installation of the window, and comparing the first and second calibrations to determine a transformation that corrects for the boresight shift. Systems and computer program products are also provided.

A vehicle driving control system includes: an input device configured to receive LiDAR data and camera and/or radar data obtained for a region of interest around a host vehicle; a microprocessor configured to obtain information for localization on objects of interest by executing a first process for the LiDAR data and the camera and/or radar data and obtain information for driving path on the objects by executing a second process for the LiDAR data and the camera and/or radar data; and an output device configured to output the information for localization and the information for driving path.

A computer implemented method for determining a direction of arrival of a radar detection comprises the following steps carried out by computer hardware components: acquiring a complex-valued beamvector of the radar detection; processing the complex-valued beamvector by a machine learning module in the complex domain; and obtaining the direction of arrival as an output of the machine learning module.