Vehicles can include systems and apparatus for performing signal processing on sensor data from radar(s) and LiDAR(s) located on the vehicles. A method includes obtaining and filtering radar point cloud data of an area in an environment in which a vehicle is operating on a road to obtain filtered radar point cloud data; obtaining a light detection and ranging point cloud data of at least some of the area, where the light detection and ranging point cloud data include information about a bounding box that surrounds an object on the road; determining a set of radar point cloud data that are associated with the bounding box that surrounds the object; and causing the vehicle to operate based on one or more characteristics of the object determined from the set of radar point cloud data.

In an apparatus for monitoring an adjacent lane to a lane in which an own vehicle that is a vehicle carrying the apparatus is traveling, a travel trajectory calculation unit calculates a travel trajectory of the own vehicle based on odometry information of the own vehicle. An adjacent lane estimation unit estimates an adjacent-lane region based on the travel trajectory of the own vehicle. An other-vehicle determination unit determines whether or not a target (the other vehicle) is present in the adjacent lane based on a position of the target detected by an other-vehicle detector and the estimated adjacent-lane region.

Systems, methods, controllers and algorithms for controlling a vehicle to closely follow another vehicle safely using automatic or partially automatic control are described. The described control schemes are well suited for use in vehicle platooning and/or vehicle convoying applications, including truck platooning and convoying controllers. In one aspect, methods of initiating a platoon between a host vehicle and a platoon partner are described. In another aspect, a number of specific checks are described for determining whether a platoon controller is ready to initiate platoon control of the host vehicle. In another aspect, a platoon controller that includes a state machine that determines the state of the platoon controller is described. In another aspect, methods for generating braking alerts to a driver of a vehicle while the vehicle is being at least semi-automatically controlled by a platoon controller are described.

Disclosed are techniques for improving an advanced driver-assistance system (ADAS) using a secure channel area. In one embodiment, a method is disclosed comprising establishing a secure channel area extending from at least one side of a first vehicle; detecting a presence of a second vehicle in the secure channel area; establishing a secure connection with the second vehicle upon detecting the presence; exchanging messages between the first vehicle and the second vehicle, the messages including a position and speed of a sending vehicle; taking control of a position and speed of the first vehicle based on the contents of the messages; and releasing control of the position and speed of the first vehicle upon detecting that the secure connection was released.

An axial misalignment estimation apparatus calculates a first estimated speed ratio that is an estimated speed ratio calculated using an orientation angle that is corrected based on an axial misalignment angle estimated in measurement cycles up to a previous measurement cycle, and calculates at least one second estimated speed ratio that is the first estimated speed ratio presuming aliasing is present at the orientation angle. The axial misalignment estimation apparatus determines, for each stationary reflection point, whether aliasing is present at the orientation angle of the stationary reflection point based on the first estimated speed ratio and the at least one second estimated speed ratio, and corrects the orientation angle of the stationary reflection point in which aliasing is determined to be present, and estimates the axial misalignment angle based on the corrected orientation angle for the stationary reflection point of which the orientation angle is corrected.

A method for radar imaging is disclosed herein. The method may comprise using a plurality of radar antenna arrays provided on a terrestrial vehicle to obtain phase measurements associated with one or more radar signals transmitted and received by the plurality of radar antenna arrays as the terrestrial vehicle moves through an environment. The method may further comprise processing the phase measurements to compute (i) a set of object-specific properties for one or more objects external to the terrestrial vehicle and (ii) a set of vehicle-specific properties for the terrestrial vehicle. The method may further comprise using the set of object-specific properties and the set of vehicle-specific properties to generate one or more radar images of the environment as the terrestrial vehicle moves through the environment.

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 cruise control apparatus controls travel of an own vehicle based on a predicted course which is a future travel course of the own vehicle. The cruise control apparatus includes a first predicted course calculating unit and a second predicted course calculating unit, as a plurality of course prediction means for calculating a predicted course, and is provided with a course change determination unit for determining whether a change in the course is to be performed and a prediction switching unit which performs switching to enable one of a first predicted course calculated by the first predicted course calculating unit and a second predicted course calculated by the second predicted course calculation unit, the switching being based on a result of determination made by the course change determination unit as to whether a change in the course is to be performed.

A cruise control apparatus, mounted to a vehicle, controls traveling of the own vehicle, based on a predicted course, which is a future course of the own vehicle. The cruise control apparatus includes a preceding vehicle position storage unit, a course prediction computation unit, and a cancellation determination section. The preceding vehicle position storage unit chronologically stores a preceding vehicle position, which is a position of a preceding vehicle traveling ahead of the own vehicle. The predicted course computation unit calculates a predicted course, based on the trajectory of the preceding vehicle position. The cancellation determination section cancels the preceding vehicle position stored in the preceding vehicle position storage unit when it has been determined that either the own vehicle or the preceding vehicle is in a situation where the own vehicle or the preceding vehicle is likely to depart from the current course.

A radar device for detecting a distance between vehicles by the transmission and reception of survey waves is mounted in a vehicle as an object detection means for detecting an object. A cruise control apparatus includes a trajectory calculation means for calculating a moving locus of a preceding vehicle traveling in front of an own vehicle on the basis of the detection result of the radar device, a route prediction means for calculating a predicted route of the vehicle on the basis of the moving locus of the preceding vehicle calculated by the trajectory calculation means, an axial deviation detection means for detecting the axial deviation of the radar device, and an invalidation processing means for invalidating the predicted route calculated by the route prediction means when it is detected that the axial deviation detection means has detected axial deviation of the radar device.