A driving assistance control apparatus comprises a controller configured to perform, as a driving assistance control, a steering assistance control to automatically vary a steering angle of a host vehicle and/or an acceleration assistance control to automatically vary an acceleration of the host vehicle, based on at least a traveling state of the host vehicle. The controller is configured to receive a setting operation input from a driver of the host vehicle; and vary a strength degree of a steering assistance in the steering assistance control in accordance with the setting operation input, and/or vary a strength degree of an acceleration assistance in the acceleration assistance control in accordance with the setting operation input.

The vehicle control device includes an onboard sensor for acquiring information related to an object OB present around the own vehicle, and a processor capable of executing risk reduction processing to control the own vehicle in a way that reduces the risk of contact with the object based on the acquired information. The processor initiates the risk reduction processing in a specific scene S, where there is a blind spot area BA in the field of view of the onboard sensor, caused by the presence of a preceding vehicle V1 traveling in the same direction as the own vehicle and positioned in the region diagonally ahead of the own vehicle, making it impossible for the onboard sensor to detect the object OB. The risk reduction processing is triggered when the preceding vehicle V1 decelerates, and the cause of the deceleration cannot be detected.

A method for automated steering of a motor vehicle including wheels at least two of which are steered wheels. The method comprising: acquiring parameters relating to a path for avoidance of an obstacle by the motor vehicle, and calculating, by a computer, a first steering setpoint for a steering actuator for the steered wheels and a second steering setpoint for at least one actuator for differential braking of the wheels, depending on the parameters. The first and second steering setpoints are each determined by a controller respecting a model that limits setpoint variation and/or range.

A method for generating a lateral offset trajectory for an at least partially automated mobile platform. The method includes: providing a target lateral offset; inverting a provided dynamic model of the mobile platform; providing at least one limit of a system variable of the dynamic model for determining the lateral offset trajectory; determining a time sequence of lateral offset trajectory points for the inverted dynamic model with a state variable filter, based on the limit(s) of the system variable, and the target lateral offset as an input signal; and determining a time sequence of values of at least one manipulated variable for the mobile platform, using the inverted dynamic model and the time sequence of the lateral offset trajectory points as an input signal for the inverted dynamic model, to generate the lateral offset trajectory.

Methods and systems are provided for operating a vehicle in a mode to free the vehicle from being stuck in sand are presented. In one example, a speed of an electric machine is adjusted to determine when wheel jitter occurs. The electric machine speed may be maintained at a speed where wheel jitter occurs while the vehicle is stuck.

A method, device, and computer readable medium for controlling drift of a vehicle. The drift of the vehicle is controlled by acquiring a slip rate level and steering information of the vehicle in a drift mode opening state; determining a target drift parameter according to the slip rate level, the steering information and a current vehicle velocity, the target drift parameter includes a target yaw rate; determining a steering compensation quantity according to a current actual yaw rate and the target yaw rate; determining front axle torque, rear axle torque and rear wheel brake torque according to the steering compensation quantity and the steering information; and controlling the vehicle to drift travelling according to the front axle torque, the rear axle torque and the rear wheel brake torque, and controlling a power-assisted steering motor to perform steering compensation according to the steering compensation quantity and the vehicle velocity.

There is disclosed a control system and a method for a host vehicle operable in an autonomous mode. The control system comprises one or more controllers. The speed and/or path of the vehicle in the autonomous mode is appropriate to a driving context.

A lane change track planning method includes obtaining a current vehicle speed of a vehicle; determining a sampling interval that is of a lane change control parameter and that corresponds to the current vehicle speed; performing sampling in the sampling interval of the lane change control parameter to obtain a lane change control parameter set; determining a change with time of the lane change control parameter set; and planning a lane change track that is of the vehicle and that corresponds to the lane change control parameter set.

The driver assistance control device includes a controller that executes, as the driver assistance control, a steering assistance control (lane keeping control) that automatically changes a steering angle of the own vehicle and an acceleration assistance control (tracking inter-vehicle distance control) that automatically changes an acceleration of the own vehicle based on a traveling situation of the own vehicle. The controller learns a steering preference level indicating a degree of preference regarding steering of the driver, and changes a degree of steering assistance in the steering assistance control based on the learned steering preference level. The controller learns an acceleration preference level indicating a degree of preference related to acceleration of the driver, and changes a degree of acceleration support in the acceleration assistance control based on the learned acceleration preference level.

A computer-implemented method that, when executed by data processing hardware, causes the data processing hardware to perform operations comprising, determining vehicle pose data of a host vehicle, maintaining an odometry buffer with the vehicle pose data, detecting a steering maneuver of the host vehicle, determining a relative pose of the host vehicle upon initiation of the steering maneuver using the odometry buffer, formulating an odometry path for aligning a heading of the host vehicle with a heading of the relative pose, and completing the steering maneuver according to the odometry path.