Monitoring driving safety information before a vehicle enters a curve or when the vehicle has entered the curve; obtaining a position of the vehicle in response to the driving safety information; obtaining curve information, where the curve information includes at least one of a position of a start point of the curve and a position of an end point of the curve; and controlling, based on the position of the vehicle and the curve information, the vehicle to stop at a position outside the curve.

A vehicle control apparatus according to the present invention outputs a signal regarding a target braking/driving force for guiding a vehicle in a target traveling direction to a braking/driving controller. The signal regarding the target braking/driving force is acquired based on information regarding a running route of the vehicle and a physical amount regarding a motion state of the vehicle. The vehicle control apparatus outputs a signal regarding a steering correction torque for correcting a steering torque according to a behavior of the vehicle to a steering force controller. The signal regarding the steering correction torque is acquired based on a vehicle-body slip angle of the vehicle and the target braking/driving force.

A method to control, while driving along a curve, a road vehicle with a variable stiffness and with rear steering wheels. The method comprises the steps of: determining an actual attitude angle of the road vehicle; establishing a desired attitude angle; determining an actual yaw rate of the road vehicle; establishing a desired yaw rate; and changing, in a simultaneous and coordinated manner, the steering angle of the rear wheels and the distribution of the stiffness of the connection of the four wheels to the frame depending on a difference between the actual attitude angle and the desired attitude angle and depending on a difference between the actual yaw rate and the desired yaw rate.

A vehicle control system for reducing turn radius of a vehicle may include electric motors associated with front and rear wheels of the vehicle. The system may further include a plurality of vehicle sensors to receive information including driving surface type, vehicle speed and handwheel position. The system may also include a controller operably coupled to the electric motors and the sensors to control wheel slip during a turn based on the driving surface type, the vehicle speed and the handwheel position.

Techniques for determining predictions on a top-down representation of an environment based on vehicle action(s) are discussed herein. Sensors of a first vehicle (such as an autonomous vehicle) can capture sensor data of an environment, which may include object(s) separate from the first vehicle (e.g., a vehicle or a pedestrian). A multi-channel image representing a top-down view of the object(s) and the environment can be generated based on the sensor data, map data, and/or action data. Environmental data (object extents, velocities, lane positions, crosswalks, etc.) can be encoded in the image. Action data can represent a target lane, trajectory, etc. of the first vehicle. Multiple images can be generated representing the environment over time and input into a prediction system configured to output prediction probabilities associated with possible locations of the object(s) in the future, which may be based on the actions of the autonomous vehicle.

A vehicle is provided to avoid a collision with a target object located in front of the vehicle by predicting an expected traveling path of the target object. The vehicle also predicts the possibility of a collision with the target object.

A racing coach device stores a first path of travel along a racetrack over a first time period and a second path of travel along the racetrack over a second time period. The racing coach device identifies, for each of a plurality of geolocations along the racetrack, one of the first path of travel or the second path of travel that is associated with a shorter duration of time over which the user traversed a segment of the path of travel associated with each of the plurality of geolocations. The device determines an optimal path of travel along the racetrack based on the identified first and second path of travel for each segment of the path of travel at each of the plurality of geolocations that results in a calculated lap time to traverse the racetrack that is less than the first time period and the second time period.

An embodiment is a redundant control system for autonomous steering including a sensor in a vehicle configured to sense information for autonomous driving, a main steerer configured to actuate a steering motor to perform steering, first autonomous controller configured to use data provided from the sensor to determine a target steering angle through real-time lane recognition and to control the main steerer, an auxiliary steerer configured to use a brake module composed of a main brake and an auxiliary brake to perform steering, and a second autonomous controller configured to control the auxiliary steerer to perform supplementary steering through partial braking and application of additional actuation in the event of abnormal operation of an automatic steering function using the first autonomous controller and to control backup braking through the auxiliary brake when the main brake fails.

A traveling path setting method for a vehicle has a set traveling path of a host vehicle that includes a traveling path that turns across another lane at an intersection. The traveling path setting method is configured to set a traveling path for turning of the vehicle to an inner side of a turning direction when an adjacent vehicle exists within a predetermined distance outward of the traveling path of the host vehicle in the turning direction, compared to a case where no adjacent vehicle exists.

A vehicle includes an engine, an accelerator pedal, and a controller. The controller is programmed to command torque to the engine based on a set speed of adaptive cruise control and is programmed to, in response to the adaptive cruise control being active, a measured lateral acceleration of the vehicle exceeding a user-defined lateral acceleration threshold during a road curve, and the accelerator pedal being released, reduce a speed of the vehicle below the set speed until the measured lateral acceleration is less than the lateral acceleration threshold.