Various disclosed embodiments include illustrative systems, vehicles, and methods. In an illustrative embodiment, a system includes a sensor configured to generate route information, and a control unit. The control unit includes a processor in signal communication with the sensor and a memory configured to store computer-executable instructions. The computer-executable instructions are configured to cause the processor to receive the generated route information, generate a wheel signal responsive to the received route information indicating a change in wheel engagement status, and output the wheel signal to a disconnect.

System and methods are provided for implementing friction circle safety controls in a vehicle, such as an autonomous vehicle. A system can apply a friction circle analysis during the vehicle's operation, in order to perform a safety-based evaluation of maneuvers that impact the dynamic relationship between a vehicle's tires and a road surface. The system also establishes a link between the vehicle's lateral controls (e.g., steering wheel) and the vehicle's longitudinal controls (e.g., brake and throttle pedals), such that a frictional force of the tires against the road's surface, does not does not exceed a traction limit (e.g., limit of a tire's grip on the road surface) for the particular vehicle. For example, friction circle safety controls can automatically provide feedback and/or automatic driving actions to adjust a relationship between the steering wheel and brake/throttle pedals of the vehicle to maintain operation of the vehicle within the friction circle.

A system for control of a steering system of a vehicle. The system including an actuator for applying a force or a torque to the steering system. A force or torque can be superimposed on a force or torque originating from the wheels. The system includes a detection unit disposed on the vehicle and configured for anticipatorily detecting at least one surface condition of a surface section located ahead of the vehicle in the direction of vehicle travel and subsequently driven on by the vehicle. The system including a data processing unit disposed on the vehicle and connected to and communicating with the detection unit. The data processing unit configured for generating control signals for controlling an actuator of the steering system based on the detected surface condition.

Systems and methods for situational behavior of an autonomous vehicle are disclosed. In one aspect, an autonomous vehicle includes at least one perception sensor configured to generate perception data indicative of at least one other vehicle on a roadway, a non-transitory computer readable medium, and a processor. The processor is configured to determine that the other vehicle is violating one or more rules of the roadway based on the perception data, tag the other vehicle as a non-compliant driver, and modify control of the autonomous vehicle in response to tagging the other vehicle as a non-compliant driver.

Various embodiments include a method for operating a hybrid drive train for a motor vehicle having an output shaft from an internal combustion engine releasably connected to a shaft of an electric traction machine via a first clutch, wherein the shaft of the electric traction machine is releasably connected to a transmission input shaft via a second clutch. The method may comprise: determining a state parameter for the motor vehicle; and opening either the first clutch or the second clutch for a changeover to coasting operation of the hybrid drive train based on a function of one or more state parameters.

Vehicle alert and control systems and methods taking into account a detected road friction at a following vehicle and a predicted road friction by the following vehicle. The detected road friction between the following vehicle tires and the road surface may be assessed using a variety of methodologies and is used to compute a critical safety distance between the following vehicle and the preceding vehicle and a critical safety speed of the following vehicle. The predicted road friction ahead of the following vehicle may also be assessed using a variety of methodologies (lidar, camera, and cloud-based examples are provided) and is used to compute a warning safety distance between the following vehicle and the preceding vehicle and a warning safety speed of the following vehicle. These functionalities may be applied to vehicle/stationary object warning and response scenarios as well.

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: predict, at a trained machine learning classifier, a target slip value based on a predicted slip slope and a predicted road texture, wherein the predicted slip slope and the predicted road texture are determined using sensor data representing tire forces and modify at least one vehicle action based on the target slip value when a confidence level value corresponding to the target slip value is greater than or equal to a confidence level threshold.

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.

Techniques are described for estimating road friction between a road and tires of a vehicle. A method includes receiving, from a temperature sensor on a vehicle, a temperature value that indicates a temperature of an environment in which a vehicle is operated, determining a first range of friction values that quantify a friction between a road and tires of a vehicle based on a function of the temperature value and an extent of precipitation in a region that indicate a hazardous driving condition, obtaining, from the first range of friction values, a value that quantifies the friction between the road and the tires of the vehicle, where the value is obtained based on a driving related behavior of the vehicle, and causing the vehicle to operate on the road based on the value obtained from the first range of friction values.