An acceleration slip regulation method includes determining a current control phase of a vehicle in an acceleration slip regulation state, determining a current road surface adhesion coefficient of the vehicle, determining, based on the current control phase and the current road surface adhesion coefficient, maximum torque allowed by a road surface, obtaining demand torque received by a drive motor of the vehicle and a wheel slip rate of the vehicle, and outputting adaptive feedforward torque for acceleration slip regulation based on the maximum torque allowed by the road surface, the demand torque, and the wheel slip rate, where the adaptive feedforward torque is used to perform the acceleration slip regulation on the vehicle.

Embodiments of the present disclosure disclose a method for controlling an autonomous vehicle to pass through a curve, a device and a medium, and relate to the field of autonomous driving technologies. At least one implementation of the method for controlling an autonomous vehicle to pass through a curve includes: determining a curve boundary within a sensing area in a current driving direction of the autonomous vehicle based on a current position of the autonomous vehicle on the curve; determining a current safe stopping distance of the autonomous vehicle on the curve based on current driving parameters of the autonomous vehicle and the curve boundary; determining a speed threshold of the autonomous vehicle based on the current safe stopping distance, braking parameters of the autonomous vehicle and a curve curvature corresponding to the current position; and controlling a speed of the autonomous vehicle not to exceed the speed threshold.

A non-transitory computer readable storage medium has instructions executed by a processor to obtain the relative speed between a first traffic object and a second traffic object. The separation distance between the first traffic object and the second traffic object is received. The relative speed and the separation distance are combined to form a quantitative measure of hazard encountered by the first traffic object. The obtain, receive and combine operations are repeated to form cumulative measures of hazard associated with the first traffic object. The cumulative measures of hazard are analyzed to derive a first traffic object safety score for the first traffic object.

A braking control arrangement is for a braking system of a vehicle. The braking system comprises an anti-lock braking system, ABS, and an electronic stability control, ESC. The braking control arrangement comprises a module that is arranged to operate with the anti-lock braking system and the electric stability control. The arrangement is also arranged to drive a gear arrangement of the vehicle in such a way that when braking the vehicle, the anti-lock braking system works, and a slippery road is detected, the gear arrangement of the vehicle is driven to shift a reverse gear.

Systems and methods for vehicle motion control are provided. The method includes: calculating a correction factor using one of three different sets of operations when the vehicle is performing a limit handling maneuver, wherein the correction factor is calculated using a first set of operations when the vehicle is operating in an understeer state, calculated using a second set of operations when the vehicle is operating in an oversteer state, and calculated using a third set of operations when the vehicle is operating in a neutral steer state; adjusting a desired lateral acceleration and a desired yaw rate by applying the correction factor to account for a reduced level of friction experienced by the vehicle when traveling on a non-ideal friction surface; calculating optimal control actions based on the adjusted desired lateral acceleration and adjusted desired yaw rate; and applying the optimal control actions with vehicle actuators during vehicle operations.

A vehicular alert system includes at least one sensor disposed at a vehicle and sensing exterior of the vehicle. The at least one sensor captures sensor data. Electronic circuitry of an electronic control unit includes a processor for processing sensor data captured by the at least one sensor to detect presence of objects viewed by the at least one sensor. The vehicular alert system, responsive to determining a likelihood that the vehicle is parking, tracks a position of a detected object until the object leaves a field of sensing of the sensor. The vehicular alert system predicts a position of the object relative to the vehicle and determines the object is a hazard based on the predicted position. The vehicular alert system, responsive to determining that the detected object is a hazard, alerts an occupant of the vehicle of the detected object.

Embodiments of the present application disclose a safety control method and a safety control system based on environmental risk assessment for an intelligent connected vehicle. The method includes: when a vehicle is in an automatic driving mode, acquiring environmental parameter information of the vehicle in a current driving environment; determining a target driving control parameter which meets a preset safe driving condition under the current environmental parameter; and managing a current automatic driving level of the vehicle by using the target driving control parameter.

A method for controlling a vehicle to make an emergency stop of the vehicle providing a camera and an electronic control unit (ECU) at the vehicle. Presence of a road condition is determined at the road along which the vehicle is traveling. Responsive to determining an emergency driving condition while the vehicle is traveling along the road at the road condition, the ECU at least partially controls driving of the vehicle along the road. While the ECU is at least partially controlling driving of the vehicle along the road, and responsive to determining an end of the road condition, a target stopping location is determined ahead of the vehicle at the road along which the vehicle is traveling and after the end of the road condition. The ECU at least partially controls driving of the vehicle to the target stopping location.

A vehicle collision avoidance assistance device is configured to perform forced braking or forced steering when a driver's vehicle has a possibility of colliding with an object ahead of the driver's vehicle, acquire at least one of information related to a condition of the driver's vehicle and information related to a situation around the driver's vehicle, determine, based on the acquired information, whether a request condition for requesting execution of the forced steering is satisfied and whether a forbiddance condition for forbidding the execution of the forced steering is satisfied, perform the forced braking when the request condition is not satisfied regardless of whether the forbiddance condition is satisfied, perform the forced steering when the forbiddance condition is not satisfied and the request condition is satisfied, and perform the forced braking when the forbiddance condition is satisfied though the request condition is satisfied.

A method determines a quality characteristic, in which the quality characteristic is representative for the procurement of a vehicle-specific friction coefficient of a vehicle and a standardized friction coefficient of a friction coefficient map. The friction coefficient data are received, the friction coefficient data being representative for a friction coefficient measured depending upon the position of a vehicle and a quality characteristic representative for the vehicle. The friction coefficient map is provided, the friction coefficient being representative for standardized friction coefficients of a vehicle fleet of a route network. Depending upon the friction coefficient data and the friction coefficient map, the quality characteristic is determined again and transmitted to the vehicle.