A method for predicting an ego-lane for a vehicle. The method includes: receiving at least one image captured by at last one camera sensor of the vehicle, which depicts a lane that may be used by a vehicle; ascertaining a center line of the lane, which extends through a center of the lane, by implementing a trained neural network on the captured image, the neural network being trained via regression to ascertain a center line of a lane, which extends in a center of the lane, based on captured images of the lane; outputting a plurality of parameters, which describe the center line of the lane, via the neural network; generating the center line based on the parameters of the center line; identifying the center line of the lane as the ego-lane of the vehicle; and providing the ego-lane.

A system includes a processor and a memory storing instructions executable by the processor to control at least one of a steering system or a propulsion system to operate a vehicle at a speed below a speed threshold. The instructions include instructions to determine whether one or more second vehicles a first distance from the vehicle are traveling below the speed threshold. The instructions include instructions to, upon determining the second vehicles are traveling below the speed threshold, continue to control the steering system or the propulsion system. The instructions include instructions to, upon determining the second vehicles are not traveling below the speed threshold, transition control of the steering system or the propulsion system to a human operator of the vehicle.

A system includes a processor and a memory storing instructions executable by the processor to control at least one of a steering system or a propulsion system to operate a vehicle at a speed below a speed threshold. The instructions include instructions to determine whether one or more second vehicles a first distance from the vehicle are traveling below the speed threshold. The instructions include instructions to, upon determining the second vehicles are traveling below the speed threshold, continue to control the steering system or the propulsion system. The instructions include instructions to, upon determining the second vehicles are not traveling below the speed threshold, transition control of the steering system or the propulsion system to a human operator of the vehicle.

A vehicle control device has a first calculating unit calculating a first arrival time until a vehicle reaches a lane change position where a first lane along which the vehicle is traveling and a second lane merge, or the first lane and the second lane separates, a second calculating unit calculating a second arrival time until another vehicle traveling along the second lane reaches the lane change position, and a speed control unit controlling the speed of the vehicle such that the vehicle enables to make a lane change to the second lane ahead of the other vehicle when the first arrival time is shorter than the second arrival time, and controlling the speed of the vehicle such that the vehicle enables to make a lane change to the second lane behind the other vehicle when the first arrival time is equal to or greater than the second arrival time.

A simulating method for an electric vehicle (EV) includes creating a simulation model associating a plurality of target behaviors of a target vehicle with the EV, obtaining a plurality of vehicle parameters of the EV to generate a set of EV control parameters, obtaining a plurality of configuration parameters of the target vehicle, based on the set of EV control parameters and the plurality of configuration parameters of the target vehicle, using the simulation model to provide a set of simulated target-vehicle controls, where the simulation model is a neural network trained to reflect a relationship between the set of EV control parameters and the set of simulated target-vehicle controls, and outputting the set of simulated target-vehicle controls to the EV, such that the EV is controlled to achieve the plurality of target behaviors of the target vehicle based on the set of simulated target-vehicle controls.

A system, a method and a device for planning a driving path for a vehicle are described. In one example aspect, the device is configured to: analyze sense data to obtain positioning data of vehicles; assign vehicle transportation tasks to an unmanned vehicle and a manned vehicle in the predetermined area in accordance with a predetermined transportation task, each vehicle transportation task including a transportation start point and a transportation end point; plan driving paths for the unmanned vehicle and the manned vehicle based on the assigned vehicle transportation tasks, the vehicle positioning data and map data; transmit the assigned transportation task and the planned driving path for the unmanned vehicle to the unmanned vehicle; and transmit the assigned transportation task and the planned driving path for the manned vehicle to a mobile device corresponding to the manned vehicle.

A system, a method and a device for planning a driving path for a vehicle are described. In one example aspect, the device is configured to: analyze sense data to obtain positioning data of vehicles; assign vehicle transportation tasks to an unmanned vehicle and a manned vehicle in the predetermined area in accordance with a predetermined transportation task, each vehicle transportation task including a transportation start point and a transportation end point; plan driving paths for the unmanned vehicle and the manned vehicle based on the assigned vehicle transportation tasks, the vehicle positioning data and map data; transmit the assigned transportation task and the planned driving path for the unmanned vehicle to the unmanned vehicle; and transmit the assigned transportation task and the planned driving path for the manned vehicle to a mobile device corresponding to the manned vehicle.

An electric power steering device includes: a steering torque sensor that detects a steering torque; a current command value calculation unit that calculates a current command value based on the steering torque; an electric motor that generates a steering assist torque; a motor control unit that controls and drives the electric motor based on the current command value; a navigation controller and a GPS receiver that detects position information of a vehicle; and an operation assist unit that stores, in a map database, the steering torque detected by the steering torque sensor and the position information of the vehicle upon detection of the steering torque in association with each other and executes operation assist processing for assisting the driver in operating the steering wheel based on a past steering torque corresponding to current position information.

An electric power steering device includes: a steering torque sensor that detects a steering torque; a current command value calculation unit that calculates a current command value based on the steering torque; an electric motor that generates a steering assist torque; a motor control unit that controls and drives the electric motor based on the current command value; a navigation controller and a GPS receiver that detects position information of a vehicle; and an operation assist unit that stores, in a map database, the steering torque detected by the steering torque sensor and the position information of the vehicle upon detection of the steering torque in association with each other and executes operation assist processing for assisting the driver in operating the steering wheel based on a past steering torque corresponding to current position information.

The present disclosure relates to a method for controlling at least one drive assistance system of a motor vehicle, a device for carrying out the steps of this method and a system including such a device. The disclosure also relates to a motor vehicle including such a device or such a system.