Embodiments of the present disclosure relate generally to generating and utilizing three-dimensional terrain maps for vehicular control. Other embodiments may be described and/or claimed.

The disclosure relates to assessing and responding to wheel slippage and estimating road friction for a road surface. For instance, a vehicle may be controlled in an autonomous driving mode in order to follow a trajectory. A wheel of the vehicle may be determined to be slipping such that the vehicle has limited steering control. In response to determining that the wheel is slipping, steering of one or more wheels may be controlled in order to orient the one or more wheels towards the trajectory in order to allow the vehicle to proceed towards the trajectory when the wheel is no longer slipping. In addition, the road friction may be estimated based on the determination that the wheel is slipping. The vehicle may be controlled in the autonomous driving mode based on the estimated road friction.

The present invention relates to the field of vehicles, in particular to a vehicle slip regulation method and apparatus, an electronic device and a medium. The vehicle slip regulation method comprises the following steps: determining a pavement type of a vehicle driving pavement in response to a vehicle acceleration slip regulation event; determining an overall target acceleration of a vehicle according to the determined pavement type, the speed of a non-driving wheel and the slip time of a driving wheel; and performing vehicle slip regulation according to the overall target acceleration. The method does not need to determine wheel adhesion coefficient of a vehicle according to coefficients such as vehicle weight and road slope, can perform slip regulation by calculating overall target accelerations under different pavements, and has strong practicability and robustness and good acceleration slip regulation effect.

A method and device parameterize a driving dynamics controller of a vehicle, which intervenes in a controlling manner in a driving dynamics of the vehicle. The driving dynamics controller ascertains an action depending on a vehicle state. The method includes providing a model for predicting a vehicle state. The model configured to predict a subsequent vehicle state depending on the vehicle state and the action. At least one data tuple is ascertained including a sequence of vehicle states and respectively associated actions. The vehicle states are ascertained by the driving dynamics controller using the model depending on an ascertained action. The parameters of the driving dynamics controller are changed/adjusted such that a cost function which ascertains costs of the trajectory depending on the vehicle states and on the ascertained actions of the respectively associated vehicle states and is dependent on the parameters of the driving dynamics controller is minimized.

Techniques for using a set of non-steering variables to estimate an angle of a wheel are described. For example, a yaw rate, a linear velocity of a wheel, and vehicle dimensions (e.g., offset between the wheel and a turn-center reference line), can be used to estimate the angle of the wheel. Among other things, estimating angles based on non-steering variables may provide redundancy (e.g., when determined in parallel with steering-based command angles or other commanded angles) and/or may be used to validate commanded angles based on steering components.

The present disclosure provides an electronic stability control method for a vehicle for performing vehicular electronic stability control simply by adjusting driving force and braking power that are generated by a driving device of the vehicle without use of a driving force distributing method between front, rear, left, or right vehicle wheels. To this end, the vehicular electronic stability control method includes determining a vehicular state value indicating a driving state of a vehicle from information collected from the vehicle, comparing the determined vehicle state value with a first reference value, and controlling an operation of a driving device for generating driving force for driving the vehicle by the controller when the vehicle state value is greater than the first reference value to adjust driving force for preventing understeer or oversteer of the vehicle.

The present invention obtains a controller and a control method capable of appropriately executing adaptive cruise control of a straddle-type vehicle.

In the controller and the control method according to the present invention, when braking forces are generated on at least one of wheels of the straddle-type vehicle during the adaptive cruise control, in which the straddle-type vehicle is made to travel according to a distance from the straddle-type vehicle to a preceding vehicle, motion of the straddle-type vehicle, and a rider's instruction, at a braking start time point at which the braking force starts being generated on at least one of the wheels, braking force distribution between the front and the rear wheel is brought into an initial state where the braking force is generated on the front wheel.

The present disclosure relates to a method and system for integrated path planning and path tracking control of an autonomous vehicle. The method includes: obtaining five input control variables and eleven system state variables of an autonomous vehicle at current time; constructing a vehicle path planning-tracking integrated state model according to the obtained variables at the current time; enveloping external contours of two autonomous vehicles using elliptical envelope curves to determine elliptical vehicle envelope curves of the two autonomous vehicles, respectively; determining time to collision (TTC) between the vehicles according to elliptical vehicle envelope curves and vehicle driving states; establishing an objective function of a model prediction controller (MPC) according to the model; and solving the objective function based on the TTC, and determining input control variables to the MPC at the next time. Autonomous vehicle collision avoidance can be achieved according to the present disclosure.

Method for updating at least one vehicle model parameter and at least one tire parameter in at least one chassis control unit of a vehicle, based on tire sensor information collected by a tire sensor placed on a tire. The method includes the steps of: collecting tire sensor information; updating the at least one vehicle model parameter based on updating at least one tire parameter, updating one tire parameter being based on the tire sensor information.

A steering control system adapted for use on a paving machine having one or more wheels and an automatic pivot steer mode. The preferred steering control system comprises a speed sensor adapted to determine a paving machine speed, a steering cylinder adapted to move between a straight forward position and a fully turned position, a steering cylinder sensor adapted to determine a steering cylinder position, a flow sharing valve in fluid communication with one or more of the one or more wheels and adapted to be moved between an open position and a closed position, and a controller adapted to communicate with the speed sensor, the steering cylinder sensor, and the flow sharing valve. The preferred steering control system is adapted to automatically open and close the flow sharing valve. Automatically moving the flow sharing valve between the open position and the closed position.