A data-driven prediction-based system and method for trajectory planning of autonomous vehicles are disclosed. A particular embodiment includes: generating a first suggested trajectory for an autonomous vehicle; generating predicted resulting trajectories of proximate agents using a prediction module; scoring the first suggested trajectory based on the predicted resulting trajectories of the proximate agents; generating a second suggested trajectory for the autonomous vehicle and generating corresponding predicted resulting trajectories of proximate agents, if the score of the first suggested trajectory is below a minimum acceptable threshold; and outputting a suggested trajectory for the autonomous vehicle wherein the score corresponding to the suggested trajectory is at or above the minimum acceptable threshold.

A vehicle drive assist apparatus includes an own vehicle position estimator, a storage, a traveling lane estimator, a target steering angle setting unit, an own vehicle speed detector, and a lateral position deviation calculator. The own vehicle position estimator estimates an own vehicle position, by receiving a positioning signal from a positioning information transmitter. The traveling lane estimator estimates a traveling lane, by referring to road map information stored in the storage and based on the estimated own vehicle position. The lateral position deviation calculator sets a lateral position deviation being an offset amount in a lateral direction. The target steering angle setting unit sets a target steering angle based on the estimated traveling lane, adds the lateral position deviation to a feedback term of the target steering angle, and sets, based on an addition result, the target steering angle allowing an own vehicle to travel along the traveling lane.

A vehicle driver assist system includes a housing having a main body portion and a viewing window in the main body portion. A camera is provided in the main body portion and has a field of view through the viewing window. A glare reduction portion is adjacent the camera. The glare reduction portion has a textured surface for attenuating light reflection off of the glare reduction portion and into the camera.

A guidance system, for use on an automated vehicle includes a camera, a vehicle-to-vehicle transceiver, and a controller. The camera detects a lane-marking on a roadway and detects a lead-vehicle traveling ahead of a host-vehicle. The vehicle-to-vehicle transceiver receives a future-waypoint from the lead-vehicle, wherein the future-waypoint defines a future-route of the lead-vehicle along the roadway. The controller is in communication with the camera and the vehicle-to-vehicle transceiver. The controller determines a projected-path for the host-vehicle based on the lane-marking. The controller also determines a lead-path of the lead-vehicle based on the camera. The controller steers the host-vehicle according to the lead-path when the lane-marking is not detected and the lead-path corresponds to the projected-path. The controller steers the host-vehicle according to the projected-path while the lane-marking is not detected and the future-waypoint does not correspond to the projected-path.

A method for providing a steering course for a vehicle is described, the vehicle having at least one wheel travelling on a driving surface alongside a raised boundary to the driving surface. The method comprises receiving steering information, the steering information indicative of a steering condition of the vehicle. The method comprises receiving terrain information, the terrain information indicative of a direction of the boundary. The method comprises providing, in dependence on the steering information and the direction of the boundary, a steering course for the vehicle. A computer-readable medium, a controller, a system and a vehicle are also provided.

A method for passing on at least one consignment from a transferring vehicle to a receiving vehicle in which the transferring vehicle and the receiving vehicle are made to roughly approach one another, in which, after the transferring vehicle and the receiving vehicle have been made to roughly approach one another, they are made to approach one another precisely while approximating the speeds and the directions of travel of the transferring vehicle and the receiving vehicle to one another, in which, while the transferring vehicle and the receiving vehicle are traveling with speeds and directions of travel which are approximate to one another, the at least one consignment is transferred from the transferring vehicle to the receiving vehicle, and in which, after the transfer of the at least one consignment has taken place, the transferring vehicle and the receiving vehicle move away from one another.

A data-driven prediction-based system and method for trajectory planning of autonomous vehicles are disclosed. A particular embodiment includes: generating a first suggested trajectory for an autonomous vehicle; generating predicted resulting trajectories of proximate agents using a prediction module; scoring the first suggested trajectory based on the predicted resulting trajectories of the proximate agents; generating a second suggested trajectory for the autonomous vehicle and generating corresponding predicted resulting trajectories of proximate agents, if the score of the first suggested trajectory is below a minimum acceptable threshold; and outputting a suggested trajectory for the autonomous vehicle wherein the score corresponding to the suggested trajectory is at or above the minimum acceptable threshold.

A vehicular control system includes a camera and a radar sensor disposed at an equipped vehicle. The system, via processing of image data and processing of sensor data, determines other vehicles present on the road ahead of the equipped vehicle. The system, responsive to determining the presence of a plurality of other vehicles present on the road, determines a threat level for each vehicle of the plurality of other vehicles. An emergency braking system of the equipped vehicle is controlled responsive to the determined threat levels. When a vehicle of the plurality of other vehicles is no longer detectable via processing of image data captured by the camera and processing of sensor data captured by the radar sensor, the system predicts a position for the no longer detectable vehicle of the plurality of other vehicles.

Technical solutions described herein include a steering system that includes a motor that generates assist torque, and a controller that generates a motor torque command for controlling an amount of the assist torque generated by the motor. The steering system further includes a remote object assist module that computes a steering intervention based on a proximity of a vehicle from a detected object. The controller changes the motor torque command using the steering intervention.

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.