A computer includes a processor and a memory storing instructions executable by the processor to predict a path of a target vehicle through an intersection, determine a sequence for the target vehicle and a host vehicle to cross through the intersection based the predicted path of the target vehicle and a planned path of the host vehicle, the sequence determined to improve a vehicle parameter among a fleet of vehicles including the host vehicle and the target vehicle, transmit the determined sequence to the target vehicle, and actuate one or more components to move the host vehicle along the planned path according to the determined sequence.

A method, apparatus, and system for executing a lane change is disclosed. That an ADV is in a lane changing region for an anticipated lane change into a neighboring target lane in a first direction is determined. The first direction is either a left direction or a right direction in a direction of travel of the ADV. A reference line is moved toward the target lane in the first direction at a predetermined rate while the reference line is kept within a current lane of the ADV. A gap in traffic for the anticipated lane change is searched for. Thereafter, in response to finding the gap in traffic for the anticipated lane change, the ADV is controlled to complete the lane change into the target lane.

A parking assist system includes: a control device configured to execute a driving process for autonomously moving a vehicle to a target position; a steering operation member configured to receive a steering operation performed by an occupant; a vehicle state detecting device; and a notification device configured to make a notification to the occupant. In the driving process, the control device executes vehicle speed control and steering control. When, during execution of the driving process, the control device determines that the vehicle is a suspension state in which the driving process should be temporarily suspended, the control device causes the notification device to output a prescribed notification and executes a suspension process. In the suspension process, the control device executes the vehicle speed control to stop the vehicle and stops the steering control.

The invention relates to a driving assistance system (3) for the longitudinal and/or lateral control of a motor vehicle, comprising an image processing device (31a) trained beforehand using a learning algorithm and configured so as to generate, at output, a control instruction (S.sub.com1) for the motor vehicle from an image (Im.sub.1) provided at input and captured by an on-board digital camera (2); a digital image processing module (32) configured so as to provide at least one additional image (Im.sub.2) at input of an additional device (31b), identical to the device (31a), for parallel processing of the image (Im.sub.1) captured by the camera (2) and said at least one additional image (Im.sub.2), such that said additional device (31b) generates at least one additional control instruction (S.sub.com2) for the motor vehicle, said additional image (Im.sub.2) resulting from at least one geometric and/or radiometric transformation performed on said captured image (Im.sub.1), and a digital fusion module (33) configured so as to generate a resultant control instruction (S.sub.com) on the basis of said control instruction (S.sub.com1) and of said at least one additional control instruction (S.sub.com2).

A method, apparatus, and computer program product are provided for providing merging assistance for a vehicle. The method includes capturing a vehicle speed of the vehicle travelling in a lane of roadway. The method also includes receiving adjacent vehicle data relating to an adjacent vehicle in an adjacent lane. The method further includes receiving adjacent lane data relating to a speed of one or more vehicles in the adjacent lane. The method still further includes generating merger information for the vehicle based on the vehicle speed, the adjacent vehicle data, and the adjacent lane data. A corresponding apparatus and computer program product are also provided.

The invention relates to a method for stopping a self-driving vehicle (10), starting with determining an approach of the vehicle (10) to a specified stopping point (83). In addition, at least one moving object (70) is detected within the environment of the vehicle. A projected trajectory (84) of the vehicle (10) and a projected trajectory (85) of the object (70) at a first point in time t.sub.1 are determined. Based on the projected trajectory (84) of the vehicle (10), a second point in time t.sub.2 is then determined, at which the vehicle (10) arrives at the specified stopping point (83). Based on the position and speed of the object (70) at the second point in time t.sub.2 determined on the basis of the projected trajectory (85) of the object (70), a collision probability between the object (70) and a door (15) or a passenger of the vehicle (10) at the specified stopping point (83) at the second point in time t.sub.2 is determined. Lastly, a third point in time t.sub.3 is determined for opening at least one door (15) of the vehicle (10), in order to minimize the determined collision probability. The invention also relates to a self-driving vehicle for executing the method according to the invention.

Disclosed is an autonomous scooter for personal use for riders to ride hands free since the autonomous scooter drives itself, or they can drive it manually. Respectively the autonomous scooter comprising an autonomous driving mode for personal use or for commercial use to travel to the ideal destination and origin plans where the rider can rent one or more autonomous scooters, and the rider can leave the A-Scooter wherever their destination is. The autonomous scooter is virtually controlled from a control center through tele-communication or a network server to robotically steer with or without a rider onboard. The autonomous scooter in which the rider stands up to ride and may opt to manual control the scooter or use the scooter with hands free during autonomous driving mode with respect to having stabilization to prevent tipping. The control center associated with a rental service plan and a battery charging service plan.

A method for operating a control device of a motor vehicle driving by automation. The method includes determining a location of the motor vehicle, and acquiring driving-environment data of the motor vehicle, a control characteristic of the control device of the motor vehicle being formed in such a way that a driving behavior of at least one other road user is influenced in defined manner.

A method converts an at least partially automated driving maneuver in a vehicle. The method consists of determining, on the basis of surrounding data relating to a surroundings of the vehicle, a planned at least partially automated driving maneuver. The method also consists of generating a kinesthetically and/or haptic signal in relation to the planned driving maneuver for a driver of the vehicle. The method further consists of converting the planned driving maneuver if a predetermined affirmative control action is carried out and/or when a predetermined rejected control action is lacking.

A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time t from the start of LCA; successively calculates a target lateral movement state amount of the own vehicle based on the target trajectory function and the elapsed time t; calculates a target yaw state amount of the own vehicle based on the target lateral movement state amount and a vehicle speed; and calculates a target control amount based on the target yaw state amount and the target lateral position.