A vehicle is operable in a first operating mode in which the vehicle travels autonomously inside the traffic lane based on a detection of lane markings of a traffic lane and in a second operating mode in which the vehicle autonomously follows a vehicle driving in front while ignoring lane markings, and a method of its operation includes operating the vehicle in a first of the two operating modes, detecting a vehicle environment, and switching from the first operating mode to the other of the two operating modes as a function of the detected vehicle environment. A device can execute the method and a computer program can be executed by a device for performing the method.

A system for estimating a trajectory of a vehicle includes vehicle state sensors detecting a state of movement of the vehicle and environment sensors monitoring an environment of the vehicle. A free space module determines a free space corridor based on the detected state of movement of the vehicle and the monitored environment of the vehicle. A goal point determination module determines at least one goal point for the trajectory to be estimated based on the free space corridor. A trajectory planning module estimates a reference trajectory based on the at least one goal point and calculates a deviation between an actual trajectory and the reference trajectory of the vehicle. A trajectory control module minimizes the deviation between the actual trajectory and the reference trajectory of the vehicle and outputs optimal control parameters for the movement of the vehicle based on the minimized deviation.

A vehicle control system includes a camera configured to capture image data depicting a field of view proximate the vehicle is disclosed. The vehicle control system further includes a plurality of light sources in connection with the vehicle and a controller. The controller is configured to activate a plurality of lights in an alternating pattern and capture light reflected from at least one object with the camera at a time and corresponding to the alternating pattern of the plurality of lights. In response to variations in the light impinging upon the at least one object from the alternating pattern, the controller is configured to identify a distance of the object.

A driver assistance apparatus includes an external camera disposed at a vehicle so as to have an outer field of view of the vehicle, configured to obtain image data on the outer field of view of the vehicle; an internal camera disposed inside the vehicle to grasp a drivers gaze on board the vehicle, configured to obtain the drivers gaze data; and a controller including at least one processor configured to process the image data and the gaze data. The controller may be configured to grasp the driver's gaze based on the gaze data, and based on a determination that the driver is in a careless condition, to control at least one of a control timing of a steering device and a lateral distance limit value for operating the steering device to be changed.

A non-transitory computer-readable medium storing instructions, the instructions, when executed by a processor, cause the processor to: perform a follow-up steering control for changing a steering angle of a vehicle in such a manner that the vehicle travels along a target traveling line determined based on a preceding vehicle trajectory, which is a travel trajectory of a preceding vehicle traveling ahead of the vehicle; and when a first distance condition and a manual steering condition are both satisfied while the follow-up steering control is being performed, stop the follow-up steering control, the first distance condition being a condition satisfied when a deviation distance in a road-width direction between the preceding vehicle trajectory and the vehicle is equal to or longer than a predetermined first threshold, and the manual steering condition being a condition satisfied when a driver operates a steering wheel to change a position in the road-width direction.

A method for autonomously maneuvering a tow vehicle towards a trailer positioned behind the tow vehicle is provided. The method includes receiving one or more images from one or more cameras positioned on a back portion of the tow vehicle. The method also includes identifying a trailer representation within the one or more images. The trailer representation being indicative of the trailer positioned behind the tow vehicle. The method also includes setting a vertical center of the trailer representation as a target. The method also includes determining a first steering wheel angle to turn the tow vehicle such that the vehicle autonomously maneuvers in a direction towards the target. The method also includes transmitting instructions to a drive system causing the tow vehicle to maneuver based on the first steering wheel angle.

A method for a follower vehicle following a lead vehicle, comprising establishing, in a first control mode of the follower vehicle, a path for the follower vehicle to follow the lead vehicle, characterized by generating environmental data which is related to the environment of the lead vehicle, determining, based on the generated environmental data, an expected behaviour of an operational parameter of the lead vehicle, determining an actual behaviour of the lead vehicle operational parameter, comparing the determined expected behaviour of the lead vehicle operational parameter and the determined actual behaviour of the lead vehicle operational parameter, determining based on said comparison whether to continue in first control mode of the follower vehicle, or in a second control mode of the follower vehicle, differing from the first control mode.

A system and method for mitigating or avoiding risks due to hazards encountered by platooning vehicles. The system and method involve interrogating, with one or more sensors, a space radially extending from a lead vehicle as the lead vehicle travels over the road surface, perceiving the environment within the space, ascertaining a hazard caused by an object in the space, and causing a following vehicle, operating in a platoon with the lead vehicle, to take a preemptive braking action to avoid or mitigate risks resulting from the hazard caused by the object in the space.

Techniques for using ball joint sensor data to determine conditions relevant to a vehicle are described in this disclosure. For example, in one example, the ball joint sensor data may be used to determine estimated steering data. The estimated steering data may be directly used to navigate through an environment, such as by the vehicle relying on the estimated steering data when planning, tracking, or executing a driving maneuver. Also, the estimated steering data may be used to verify the reliability of other steering sensor data used to navigate through the environment.

System that causes a first vehicle and a second vehicle to perform automated valet parking includes one or more processors configured to cause, a second vehicle to perform follow-up traveling to follow a first vehicle; set a stop position between the first vehicle and the second vehicle when the second vehicle is performing the follow-up traveling to follow the first vehicle in the parking place; calculate, between the stop position and a position where the second vehicle starts deceleration to stop at the stop position; and set a target vehicle-to-vehicle distance of the second vehicle from the first vehicle, and set, as the target vehicle-to-vehicle distance, a distance longer than a sum of the deceleration start distance and a margin distance from the stop position to the first vehicle.