A driving assistance apparatus is applied to a vehicle (VC) including a wheel-turning actuator (32) that turns a wheel and a brake actuator (41-44). The driving assistance apparatus is configured to detect, as a slip detection process (S22), slip of the vehicle on a road surface on which the vehicle is traveling. The limitation process (S24, S24a) limits the a braking force of the brake actuator to a smaller magnitude. The limitation process includes a process where the braking force of the brake actuator is limited to the smaller magnitude at least during the period over which the obstacle is being avoided when the wheel-turning actuator of the vehicle turns the wheel in order to avoid an obstacle and when the slip has been detected at the slip detection process.

A driving assistance apparatus is applied to a vehicle (VC) including a wheel-turning actuator (32) that turns a wheel and a brake actuator (41-44). The driving assistance apparatus is configured to detect, as a slip detection process (S22), slip of the vehicle on a road surface on which the vehicle is traveling. The limitation process (S24, S24a) limits the a braking force of the brake actuator to a smaller magnitude. The limitation process includes a process where the braking force of the brake actuator is limited to the smaller magnitude at least during the period over which the obstacle is being avoided when the wheel-turning actuator of the vehicle turns the wheel in order to avoid an obstacle and when the slip has been detected at the slip detection process.

An integrated control system for a vehicle is provided. The system includes a friction coefficient calculation unit that calculates friction coefficients of left side and right side road surfaces, respectively, based on vehicle wheel state information and a predetermined setting information collected during ABS operation. A feedforward braking pressure calculation unit calculates a feedforward braking pressure of each vehicle wheel using the friction coefficients. An ABS braking pressure calculation unit calculates an ABS braking pressure of the each vehicle wheel based on the feedforward braking pressure and slip rate information. A rear wheel steering control amount calculation unit calculates a rear wheel steering control amount for yaw compensation using the ABS braking pressure of each vehicle wheel and a rear wheel steering controller executes a rear wheel steering control according to the rear wheel steering control amount.

An integrated control system for a vehicle is provided. The system includes a friction coefficient calculation unit that calculates friction coefficients of left side and right side road surfaces, respectively, based on vehicle wheel state information and a predetermined setting information collected during ABS operation. A feedforward braking pressure calculation unit calculates a feedforward braking pressure of each vehicle wheel using the friction coefficients. An ABS braking pressure calculation unit calculates an ABS braking pressure of the each vehicle wheel based on the feedforward braking pressure and slip rate information. A rear wheel steering control amount calculation unit calculates a rear wheel steering control amount for yaw compensation using the ABS braking pressure of each vehicle wheel and a rear wheel steering controller executes a rear wheel steering control according to the rear wheel steering control amount.

A system and method of applying a coast regeneration torque of a vehicle are provided. The method corrects a magnitude of slip (or a slip ratio) which is considered when a coast regeneration torque is to be variably controlled while the vehicle is coasting.

A system and method of applying a coast regeneration torque of a vehicle are provided. The method corrects a magnitude of slip (or a slip ratio) which is considered when a coast regeneration torque is to be variably controlled while the vehicle is coasting.

A road surface condition estimation device extracts a detection signal of a vibration power generation element during a ground contact section to detect a road surface condition. A threshold used for determination of the ground contact section is variable according to a traveling speed of a vehicle. As a result, even if a pulse level of an output voltage of the vibration power generation element changes according to the traveling speed of the vehicle, the threshold corresponding to the change can be set. The ground contact section is determined with the use of the above thresholds, thereby being capable of performing the determination with high accuracy. Therefore, the road surface condition can be detected with high accuracy based on the ground contact section determined with high accuracy.

A road surface condition estimation device extracts a detection signal of a vibration power generation element during a ground contact section to detect a road surface condition. A threshold used for determination of the ground contact section is variable according to a traveling speed of a vehicle. As a result, even if a pulse level of an output voltage of the vibration power generation element changes according to the traveling speed of the vehicle, the threshold corresponding to the change can be set. The ground contact section is determined with the use of the above thresholds, thereby being capable of performing the determination with high accuracy. Therefore, the road surface condition can be detected with high accuracy based on the ground contact section determined with high accuracy.

Systems and methods are provided for generating data indicative of a friction associated with a driving surface, and for using friction data as part of controlling autonomous vehicle operations. In one example, a computing system can detect an event including at least one of an acceleration, a deceleration, or a stop associated with an autonomous vehicle and obtain, in response to detecting the event, operational data associated with the autonomous vehicle during the event. The computing system can determine, based at least in part on the operational data, data indicative of a friction associated with a surface upon which the autonomous vehicle is traveling during the event. The computing system can control the autonomous vehicle based at least in part on the data indicative of the friction associated with the surface.

Systems and methods are provided for generating data indicative of a friction associated with a driving surface, and for using the friction data in association with one or more vehicles. In one example, a computing system can detect a stop associated with a vehicle and initiate a steering action of the vehicle during the stop. The steering action is associated with movement of at least one tire of the vehicle relative to a driving surface. The computing system can obtain operational data associated with the steering action during the stop of the vehicle. The computing system can determine a friction associated with the driving surface based at least in part on the operational data associated with the steering action. The computing system can generate data indicative of the friction associated with the driving surface.