The present application discloses an intelligent driving system with an embedded driver model. The system includes a driver model module that can tune vehicle performances according to driving characteristics of a driver and road environment. Applying the system provided by the present application to vehicle control systems, the driver's visual and tactile information may be taken into account when driving a vehicle, so as to tune vehicle performances to allow the vehicle to adapt itself to the individual driver.

A system control a vehicle using a friction function describing a friction between a type of surface of the road and a tire of the vehicle as a function of a slip of a wheel of the vehicle. The parameters of each friction function include an initial slope of the friction function defining a stiffness of the tire and one or combination of a peak friction, a shape factor and a curvature factor of the friction function. Upon estimating a slip and a stiffness of the tire, the system selects from the memory parameters of the friction function corresponding to the current stiffness of the tire, determines a control command using a value of the friction corresponding to the slip of the tire according to the friction function defined by the selected parameters, and submits the control command to an actuator of the vehicle.

A method for processing friction data for vehicle tires on road segments, implemented by a processing system including at least one computer and an interface for remote communication with a plurality of vehicles, the method including: acquiring, from the plurality of vehicles, friction data for tires of the vehicles on a plurality of road segments, each friction datum including at least: a maximum coefficient of friction available to the vehicle on the road segment, and information relating to the road segment; establishing, for each road segment, a distribution of the friction data obtained from the plurality of vehicles for the road segment; and determining a plurality of road types, each road type comprising a set of road segments, from a measurement of similarity between the distributions of friction data obtained for each road segment.

This disclosure relates to a system and method for transitioning vehicle control between autonomous operation and manual operation. The system includes sensors configured to generate output signals conveying information related to the vehicle and its operation. During autonomous vehicle operation, the system gauges the level of responsiveness of a vehicle operator through challenges and corresponding responses. The system determines when to present a challenge to the vehicle operator based on internal and external factors. If necessary, the system will transition from an autonomous operation mode to a manual operation mode.

A platooning control apparatus, a system including the same, and a method thereof are provided. disclosure The platooning control apparatus may include: a processor configured to determine a possibility of a collision during platooning, and when the possibility of the collision exists, perform collision avoidance control or braking control depending on whether an anti-lock brake system (ABS) is operated; and a storage configured to store data obtained by the processor and an algorithm for driving the processor, wherein the apparatus may calculate a depressurization amount of the braking pressure depending on a vehicle speed, a vehicle weight, and a state of a road surface when the avoidance control is possible during ABS operation, and may control eccentric braking depending on the depressurization amount of the braking pressure, to perform the avoidance control.

Warning guidance systems, methods, and programs communicate with a vehicle navigation system to provide guidance on a warning event that may occur on the vehicle. The systems, methods, and programs acquire warning event information indicating the warning event and an event vehicle on which the warning event has occurred. The systems methods and programs transmit the guidance to the vehicle traveling in a predetermined section in a case in which the warning event that has occurred a plurality of times in the predetermined section has occurred on a plurality of event vehicles, but do not transmit the guidance at another vehicle traveling in the predetermined section in a case in which the warning event that has occurred a plurality of times in the predetermined section has occurred on a single event vehicle for all of the plurality of times.

A method for determining a friction coefficient potential of a road surface. A total torque for operating a vehicle is unequally distributed among at least two wheel torques at wheels of the vehicle. The friction coefficient potential is ascertained using a detected slip between the road surface and at least one of the wheels and the wheel torque present at the wheel.

A maximum acceleration identification system determines a suitable maximum acceleration for transitioning a given motion/motor system to a target position or velocity, taking the friction of the motion system into consideration. The maximum acceleration determined by the maximum acceleration identification system can then be used by the motion control system as the acceleration limit for generating motion profiles. Thus, motion profiles can be generated that are closer to the true maximum acceleration supported by the motion system without violating the mechanical and electrical constraints of the system as characterized in part by the viscous friction, resulting in a more time-optimal move. In some embodiments, the maximum acceleration identification system can automatically set the maximum acceleration of the control system's profile generator to be equal to the derived value, thereby eliminating the need for the maximum acceleration to be selected and set by the system designer.

An approach is provided for detecting a slippery road condition based on a friction measurement. The approach, for example, involves receiving a traction loss of a vehicle traveling on the road link. The traction loss is detected using a first sensor. The approach also involves receiving a coefficient of friction between the vehicle and a road surface of the road link. The coefficient of friction is measured using a second sensor. The approach further involves fusing the traction loss with the coefficient of friction to detect the slippery road condition on the road link. The approach further involves providing the detected slippery road condition as an output.

System, methods, and other embodiments described herein relate to emulating vehicle dynamics. In one embodiment, a method for emulating vehicle dynamics in a vehicle having a plurality of wheels and equipped with all-wheel steering, includes receiving emulation settings that indicate one or more environment parameters and/or vehicle parameters, detecting driver inputs including at least steering input and throttle input, executing a simulation model that receives the driver inputs and emulation settings, simulates the vehicle operating based on the driver inputs and the emulation settings, and outputs one or more simulated states of the vehicle based on the simulated operation of the vehicle, determining one or more actuation commands for each wheel of the vehicle to cause the vehicle to emulate the one or more simulated states, and executing the one or more actuation commands, wherein the actuation commands include at least wheel angle commands and torque commands.