Disclosed herein are methods and systems for efficient optimal control with dynamic modeling for an autonomous vehicle (AV). The method may include acquiring vehicle status information for the AV, determining a longitudinal velocity of the AV, determining a driving style factor, wherein the driving style factor is dependent on at least road scenarios, obtaining an optimal control factor from a look-up table (LUT) using the determined longitudinal velocity and the determined driving style factor and providing an updated control command (such as a steering command) based on the obtained optimal control factor. The driving style factor may be determined from at least vehicle status, desired trajectory, current linear velocity and like parameters and ranges between a gentle driving mode and an aggressive driving mode.

A vehicle control apparatus includes an additional yaw moment decider that decides an additional yaw moment based on a yaw rate of a vehicle, a spin tendency determiner that makes a determination as to a spin tendency of the vehicle, a rotation difference decider that decides a rotation difference control amount for controlling a difference in rotation between left and right front wheels of the vehicle so as to reduce the difference in rotation, when the vehicle is determined to have the spin tendency, a rear wheel braking/driving force decider that decides a rear wheel braking/driving force control amount for controlling braking/driving forces of left and right rear wheels of the vehicle based on the additional yaw moment, and a front wheel braking/driving force decider that decides a front wheel braking/driving force control amount for controlling braking/driving forces of the left and right front wheels of the vehicle.

A system for monitoring vehicle dynamics and detecting adverse events during operation is presented. Position sensors attached to a vehicle are configured to identify a vehicle orientation (heading) as well as the vehicle's direction of travel (trajectory). A system controller connected to these position sensors can detect the difference between these two measurements. When the difference between these two measurements exceeds a safety threshold, it can be an indication of a slip event. A slip event can be caused by compromised traction or stability and may lead to a loss of vehicle control. The system controller can be configured to monitor various vehicle dynamics to detect these slip events. The system controller may be configured to track geolocations of slip events to create a database of historical slip events for determining location-based risk factors and prevention of future events.

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 lane changing system includes an inertia-detecting unit for detecting a vehicle speed, an acceleration, and body parameters of a vehicle, a geographic information unit for detecting a real-time position of the vehicle and storing road-borderline information, a visual tracker for detecting a road curvature and a relative distance and capturing a road-borderline image and a vehicle-surrounding image, a memory storing vehicle parameters, a processor, and a rotation device. The processor calculates a lateral acceleration according to the vehicle parameters, the vehicle speed, the acceleration, and the road curvature. The processor generates a steering signal when the processor determines that the relative distance is less than a first threshold, the lateral acceleration is less than a second threshold, and there is no other vehicle around the vehicle. The rotation device receives the steering signal to for making the vehicle change from an original vehicle lane to an adjacent vehicle lane.

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 object is to provide an attitude control system that can suppress an understeering characteristic when a vehicle such as an automobile travels in a medium-speed or low-speed range. A vehicle drives front wheels, and controls steering angles of the front wheels and steering angles of rear wheels. In an attitude control system to be mounted on the vehicle, a control amount detecting unit detects an operation amount of an accelerator pedal operated by a driver of the vehicle. A driving force estimating unit estimates a driving force generated on the front wheels based on the operation amount of the accelerator pedal. A rear-wheel steering angle determining unit determines a rear-wheel steering angle instruction value for controlling steering angles of the rear wheels based on an estimated front-wheel driving force that is the driving force estimated by the driving force estimating unit.

The present invention relates to a method for collision avoidance for a host vehicle, the method comprising: detecting a target in the vicinity of the vehicle; determining that the host vehicle is travelling on a collision course with the target; detecting a user initiated steering action for steering the vehicle towards one side of the target; determining a degree of understeering of the host vehicle; when the degree of understeering exceeds a first understeering threshold, controlling a steering control system of the vehicle to counteract the user initiated steering action to thereby reduce the degree of understeering. The invention further relates to an evasive steering system.

There is provided a vehicle behavior control device capable of improving responsivity of a vehicle behavior and a linear feeling with respect to a steering wheel operation without causing a driver to experience a strong feeling of intervention of the control and, at the same time, capable of controlling behavior of a vehicle in such a manner as to also improve stability of the vehicle attitude and riding comfort. In a vehicle behavior control device applied to a vehicle 1 having steerable front road wheels 2, the vehicle behavior control device includes a PCM 14 which acquires a steering speed of the vehicle, and increases a pitch angle in such a direction that a front portion of the vehicle dips when the steering speed becomes equal to or greater than a given threshold T.sub.S1 which is greater than zero.

The present invention relates to a method and device for estimating the road surface friction coefficient of a tire, which estimate the road surface friction coefficient of a tire mounted on a wheel of a vehicle in a state in which the vehicle is normally running at high speed. The method includes: acquiring the state information of a vehicle including at least one of engine state information, transmission state information, and chassis state information from sensors mounted on the vehicle and specifications set for the vehicle; estimating a longitudinal slip ratio, normal force, and longitudinal force for a tire mounted on each wheel of the vehicle by using the acquired state information of the vehicle; and estimating a road surface friction coefficient for the tire by using the estimated longitudinal slip ratio, normal force, and longitudinal force.