A virtual towing system for an automated vehicle includes a disabled-vehicle equipped with a first-transceiver that broadcasts a tow-request when perception-sensors of the disabled-vehicle have malfunctioned. The system also includes a tow-vehicle equipped with a second-transceiver that transmits guidance-data to the first-transceiver in response to the tow-request, whereby the disabled-vehicle operates in accordance with the guidance-data.

Self-propelled vehicles that include swiveling caster wheels and independent drive wheels are disclosed. The self-propelled vehicles are selectively steered in a caster wheel steering mode or a drive wheel steering mode. The vehicle includes a steering position sensor to measure the position of the steering system. A control unit varies the rotational speed of first and second drive wheels based at least in part of the signal from the steering position sensor.

Methods, systems, and computer program products are described herein for automatic collision avoidance and/or bodily injury mitigation. For example, a vehicle determines the optimal action(s) to take to avoid a collision or reduce the bodily injury of occupant(s) of the vehicle in the event that the vehicle determines that the collision is unavoidable. The vehicle performs action(s) that reduce the change of momentum experienced by occupant(s) thereof as a result of the collision. The actions are based on various characteristics of the vehicles that are to be involved in the collision. Such actions may comprise accelerating into and causing a collision with vehicle(s) in front of the vehicle at or around the same time at which a further vehicle rear-ends the vehicle. The system processes several scenarios in real-time (taking into changes of velocity of the vehicles involved) to determine the scenario that best mitigates the change of momentum.

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 adapting at least one operating parameter of a transportation vehicle during a driving maneuver of the transportation vehicle, wherein the at least one operating parameter of the transportation vehicle is set by at least one driver assistance system of the transportation vehicle, wherein the method detects at least one activity by a transportation vehicle occupant during the driving maneuver in response to the driving maneuver by a detection device and adapts the at least one operating parameter of the transportation vehicle in response to the detected activity by the transportation vehicle occupant by activating the at least one driver assistance system using a control system.

An autonomous vehicle control system includes a sensing system, a remote vehicle determination system and a controller. The sensing system is disposed on a host vehicle and is configured to sense a visual condition of a driver of the host vehicle. The remote vehicle determination system is disposed on the host vehicle, and is configured to determine a position of a remote vehicle in an area adjacent the host vehicle. The controller is configured to control the autonomous vehicle control system to move the host vehicle relative to a lane marker based on the visual condition and the position of a remote vehicle.

A method, including: detecting a distance between a vehicle and an object. The method also includes determining, based on the distance between the vehicle and the object, that a path of travel of the vehicle presents a risk of collision between the vehicle and the object. The method also includes causing at least one of a wheel angle, a vehicle drivetrain, and vehicle braking to be changed to reduce the risk of collision.

Methods, devices and apparatuses pertaining to U-turn assistance. The method may include obtaining, by a computing device, geographic obtaining of a location designated for an operation of a U-turn. The computing device may further obtain vehicle information of a vehicle performing the U-turn, and collect user information of an operator of the vehicle. Based on the geographic information, the vehicle information and the user information, the computing device may determine a level of difficulty of the U-turn and assist the operator with the operation of the U-turn based on the level of difficulty.

Provided are a travel assist device capable of producing, in a preferred manner, warning vibrations notifying deviation of a vehicle with respect to a travel path, and a method of controlling the same. A travel assist device includes a travel assist control device that notifies a driver about an anti-deviation direction or a deviation direction by making a steering angular acceleration in the deviation direction and the steering angular acceleration in the anti-deviation direction different from each other when producing warning vibrations, wherein a time-derivative value of a steering angle of a steering wheel is defined as a steering angular velocity, and a time-derivative value of the steering angular velocity is defined as the steering angular acceleration.

A position of a moving object is reliably detected with high accuracy using only an image around a vehicle. A rear camera mounted on a vehicle obtains an original image around the vehicle, a movement region detector detects a moving object from the original image, and a difference calculator detects the moving object from a bird's-eye view image of the vehicle generated by a bird's-eye view image processor. A moving object position identifying part identifies a position of the moving object based on a distance from the vehicle to the moving object detected by the movement region detector or the difference calculator, a lateral direction position of the moving object, and an actual width of the moving object detected by the movement region detector when a detected object determination part determines that the moving objects detected by the movement region detector and the difference calculator are the same moving object.