A vehicle control system is provided, which includes a steering angle detector configured to detect a steering angle of a steering wheel by the operator, the steering wheel is mounted on the vehicle, a speed detector configured to detect a traveling speed of the vehicle, a reaction-force generator configured to generate a reaction force of the steering wheel, and a controller. The controller includes a processor configured to execute a lateral acceleration calculating module to calculate a lateral acceleration based on the traveling speed and the steering angle, a rigidity characteristic setting module to set the reaction force so that a rigidity value that is a ratio of the reaction force to the steering angle increases as the lateral acceleration increases, and a reaction-force control module to control the reaction-force generator so that the reaction force becomes the reaction-force value set by the rigidity characteristic setting module.

An automatic driving system includes an electronic control unit. The electronic control unit is configured to create a traveling plan including a control target value of automatic driving control of a vehicle based on a position of the vehicle of a map, a vehicle state, and an external environment, to calculate an abnormality value, to determine, based on the abnormality value, whether the vehicle is an a normal state, an abnormal state, or an intermediate state, and to create an abnormal traveling plan as the traveling plan when it has been determined that the vehicle is in the abnormal state.

A lane deviation prevention control device for a vehicle includes a target steering torque calculator, a rate limit processor, and a rate limit value calculator. The target steering torque calculator calculates target steering torque to be applied to a steering system of an own vehicle in a lane deviation prevention control. The lane deviation prevention control includes preventing the own vehicle from deviating from a lane on which the own vehicle is traveling. The rate limit processor performs rate limit processing. The rate limit processing includes limiting a speed of change in the target steering torque to a rate limit value. The rate limit value calculator calculates the rate limit value in accordance with a deviation state of the own vehicle from the lane.

A vehicle control system and a method for the same, which are configured for rapidly stabilizing a behavior of a vehicle when an unstable behavior of the vehicle occurs while the vehicle is turning, and, if excessive oversteering occurs, securing a driving characteristic of a vehicle by minimizing intervention of an electronic stability control (ESC) device of the vehicle, may include an ESC device, a steering control device, and a rear wheel steering device, and configured for immediately enhancing stability of a vehicle through cooperative control between the ESC device, the steering control device, and the rear wheel steering device even when excessive oversteering occurs.

In a drive assist system, a map data acquiring section acquires at least one of a driver's operation ability and a load of a vehicle. An adjustment section determines an assist control amount as a control parameter of drive assist for the vehicle so that a degree of the driver's operation is increased according to reduction of the driver's operation ability or increasing of the load of the vehicle. An assist control amount calculation section transmits the assist control amount to a steering motor and a notification section so as to execute the drive assist for the vehicle.

A method for providing assistance to a driver of a vehicle, the vehicle including a driver assistance system that enables at least temporary autonomous driving, and that, after the termination of the autonomous driving, requests the driver to take over at least the lateral guidance of the vehicle via a signal. It is further provided that the steering of the vehicle is stiffened for a specified time span after the request to take over the lateral guidance. A computer program and a device that are set up to carry out the method, are also described.

A vehicle control apparatus executes a collision avoiding control of avoiding collision of an own vehicle with an object when a predetermined execution condition becomes satisfied. The collision avoiding control includes a steering control of changing a steering angle of the own vehicle and a braking force control of applying braking force to the own vehicle so as to realize a target deceleration. The vehicle control apparatus terminates the steering control and decreases the target deceleration at a first rate to terminate the braking force control when a predetermined steering termination condition that the collision has been avoided, becomes satisfied. The vehicle control apparatus terminates the steering control and decreases the target deceleration at a second rate to terminate the braking force control when a predetermined cancelation condition that a driver carries out a driving maneuver, becomes satisfied. The second rate is greater than the first rate.

In accordance with one aspect of the present disclosure, a vehicle may include a plurality of sensors configured to detect an object and to output a plurality of detection signals having a steering torque related to a result of detection; a braking device driver configured to drive a driving device of the vehicle; and a controller configured to select a single detection signal among the plurality of detection signals based on a predetermined priority, and configured to output an integrated control signal controlling the braking device driver based on the determined steering torque of the detection signal.

Systems and methods are provided to enhance the driving performance of a leanable vehicle such as a motorcycle. The system includes a leanable vehicle interface to receive input from a driver (e.g., a human or a robotic driver) and a sensor interface to receive inputs from sensors on the leanable vehicle. The system also includes a computing module to use the sensor data in combination with data from the leanable vehicle interface to calculate the driver behavior to produce a future desired performance, based on a specified aggressiveness, so that the performance of the leanable vehicle is optimized. The calculation may be done using a machine learning method, a rule based method, or both.

A lane deviation prevention control device for a vehicle includes a target steering torque calculator, a friction torque estimator, and a friction compensation rate variable controller. The target steering torque calculator calculates target steering torque to be applied to a steering system of an own vehicle in a lane deviation prevention control. The friction torque estimator estimates friction torque of the steering system. The friction compensation rate variable controller performs, on the basis of steering torque produced by a driver's steering operation and on the basis of a traveling state of the own vehicle, a variable control of an addition rate at which the friction torque is added to the target steering torque to compensate friction of the steering system.