Aspects of the present invention relate to a method and to a control system for controlling movement of a vehicle to provide vehicle creep, the vehicle comprising an engine and an electric traction motor, the control system comprising one or more controllers, wherein the control system is configured to: while a torque path between the engine and a first set of vehicle wheels is disconnected, control the electric traction motor to provide tractive torque to a second set of vehicle wheels to automatically move the vehicle to provide electric vehicle creep, wherein the electric vehicle creep is controlled by a mathematical model of engine creep torque that would be provided by the engine when the torque path between the engine and the first set of vehicle wheels is connected.

This application provides a data processing method performed a computer device. The method includes: generating an initial predicted lane change acceleration corresponding to a target vehicle in a current lane; generating target predicted position information corresponding to the target vehicle according to a predicted lane change time duration taken for the target vehicle to change from the current lane to a target lane, the target lane being a lane to which the target vehicle is expected to change to; determining a target obstacle vehicle in the target lane and adjacent to the target vehicle according to the target predicted position information; determining, according to a predicted position relationship between the target obstacle vehicle and the target vehicle, a target predicted lane change acceleration; and controlling, according to the target predicted lane change acceleration, the target vehicle to change from the current lane to the target lane.

The application disclose an autonomous-driving-based control method performed by a computer device. The method includes: acquiring scene information of a target vehicle; determining a current lane changing scene type of the target vehicle according to the scene information; recognizing, when the current lane changing scene type is a mandatory lane changing scene type, a first lane for completing a navigation travel route, and, when the first lane satisfies a lane changing safety check condition, controlling the target vehicle to perform lane changing operation according to the first lane. The second lane for optimizing the travel time is recognized according to the scene information when the current lane changing scene type is the free lane changing scene type. When the second lane satisfies the lane changing safety check condition, the target vehicle is controlled to perform lane changing operation according to the second lane.

An electrically controlled differential gear is disposed between a right front wheel and a left front wheel of a vehicle. The electrically controlled differential gear includes a clutch mechanism that limits a differential operation of the electrically controlled differential gear. A second ECU (control portion) obtains information as to failure associated with actuation of a right front electric brake mechanism. The second ECU obtains a physical amount relating to a required braking force which is applied to the left front wheel and the right front wheel. The second ECU outputs a differential limiting control command for limiting the differential operation of the electrically controlled differential gear to the clutch mechanism (or more specifically, a differential ECU that controls the clutch mechanism) based on the information as to the failure and the physical amount relating to the required braking force.

An automatic vehicle speed control system for use in a vehicle having an implement is disclosed. The automatic vehicle speed control system includes: a controller configured to: set a speed of the vehicle to a creep setting; monitor one or more operating conditions of the implement; and automatically adjust the speed of the vehicle based on the one or more operating conditions of the implement.

An electric vehicle controls turning of the electric vehicle in accordance with the orientation of the wheels and skid steering to match the path and turning radius as indicated by the steering wheel. A processing circuit detects the position of the steering wheel and determines the direction of the turn and the resulting path and turning radius of the electric vehicle. The processing circuit either measures the orientation of the wheels or captures data regarding the turning radius of the electric vehicle. The processing circuit controls the traction motors of the electric vehicle so that the actual path and turning radius of the electric vehicle matches the path and turning radius indicated by the steering wheel. Further, the processing circuit may further control controls the traction motors to attempted to maintain the speed of the electric vehicle as indicated by the throttle.

In various examples, a yield scenario may be identified for a first vehicle. A wait element is received that encodes a first path for the first vehicle to traverse a yield area and a second path for a second vehicle to traverse the yield area. The first path is employed to determine a first trajectory in the yield area for the first vehicle based at least on a first location of the first vehicle at a time and the second path is employed to determine a second trajectory in the yield area for the second vehicle based at least on a second location of the second vehicle at the time. To operate the first vehicle in accordance with a wait state, it may be determined whether there is a conflict between the first trajectory and the second trajectory, where the wait state defines a yielding behavior for the first vehicle.

A traction control method and a traction control apparatus for a vehicle are provided. The traction control method includes: estimating driving torque for each wheel and a difference between left and right wheel rotation speeds; determining a situation, in which the difference between the left and right wheel rotation speeds exceeds a first set value, to be a split wheel spin situation; estimating a maximum coefficient of friction between a spinning wheel and a road surface in the split wheel spin situation and estimating a maximum driving torque, at which the road surface is acceptable, by the maximum coefficient of friction; and obtaining a difference between driving torque of the spinning wheel and the maximum driving torque to calculate a road surface limitation excess driving torque and determining entry into traction control when the road surface limitation excess driving torque exceeds a second set value.

An apparatus and method for controlling an automatic lane change of a vehicle in consideration of a speed limit are configured to obtain information about the speed limit of a road from map information including information about the speed limit of the road, and calculate a speed at which an automatic lane change function is operable based on the speed limit of the road. As a result, it is possible to control the automatic lane change of the vehicle while automatically complying with laws and/or regulations in consideration of the speed limit of the road.

Technologies disclosed relate to a remote intervention system for the operation of a vehicle, which can be an autonomous vehicle, a vehicle that includes driver assist features, a vehicle used for ride sharing services or the like. The system includes a vehicle sending a request for remote intervention to a remote operator when the operation of the vehicle is suspended. The request for remote intervention can include a request for object identification or a request for decision confirmation. The vehicle can update vehicle operation based in part on vehicle-based sensor data and a response to the remote intervention request from the remote operator. The remote operator can be a human operator or an AI operator.