According to an embodiment, an information processing apparatus includes a memory having computer executable components stored therein; and processing circuitry communicatively coupled to the memory, the processing circuitry configured to: acquire vehicle related information serving as information relating to a vehicle switchable between manual driving and automatic driving, the vehicle related information indicating information used for determining whether switching to the automatic driving is possible; determine whether each of one or more conditions to switch from the manual driving to the automatic driving is satisfied, based on the vehicle related information; and output information corresponding to an unsatisfied condition indicating a condition determined to be unsatisfied at the determining.

A vehicular personalized adaptive cruise control system includes a forward-viewing camera viewing forward through a windshield of a vehicle, and an electronic control unit disposed at the vehicle. When the vehicle is operating in an adaptive cruise control mode, the system controls driving of the vehicle. When the equipped vehicle is not operating in the adaptive cruise control mode, a driver present in the vehicle drives the vehicle. The system identifies the driver via processing of image data captured by a cabin monitoring camera. When the identified driver drives the vehicle with the vehicle not operating in the adaptive cruise control mode, the system determines and stores personalized parameters for the identified driver. With the identified driver present in the vehicle, and when the vehicle is operating in the adaptive cruise control mode, the system uses the determined personalized parameters.

Provided is an electric vehicle control system capable of securing good response and slip stopping property with respect to changes in a road surface condition. The system includes a vehicle controller configured to calculate a driver's demand torque command value according to a driver's accelerating or braking operation, a first communication device capable of communicating between a hydraulic controller and a motor controller, and a second communication device capable of communicating between the vehicle controller and the motor controller. The system includes a control system in which the hydraulic controller transmits a motor torque command value to the motor controller through the first communication device; the vehicle controller transmits the driver's demand torque command value to the motor controller through the second communication device; and the motor controller selects either one of the received motor torque command value and the received driver's demand torque command value as the command value.

A hybrid vehicle control device for controlling a hybrid vehicle with an engine and an electric motor as drive sources of the vehicle includes a high-load road travel determination unit configured to determine whether or not the vehicle is traveling on a high running resistance road surface on which a predetermined vehicle acceleration is unobtainable only by an output of the engine, and a motor output setting unit configured to set an output of the electric motor. If the vehicle is determined to be traveling on the high running resistance road surface by the high-load road travel determination unit, the motor output setting unit limits the output of the electric motor when a vehicle speed reaches a predetermined vehicle speed.

A method is provided for determining an adhesion potential of a tire mounted on a wheel and travelling over ground. The method utilizes a database constructed to contain information obtained by evaluating experimental data on an evolution of a rolling radius of the tire as a function of predetermined rolling conditions of the tire on ground of variable and known adhesion. Based on the information in the database, an estimation model (M.sub.adpot) of an adhesion potential is established by determining a function linking an adhesion potential (μ.sub.max) of the tire to a rolling radius (RRt) of the tire and to vehicle parameters. The rolling radius (RRt) of the tire is determined while the tire is rolling. The adhesion potential (μ.sub.max) of the tire is evaluated by application of the estimation model (M.sub.adpot) and as a function of the vehicle parameters.

In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a path-based automated driving assist mode; receiving, by the processor, driver input including a driver torque; classifying, by the processor, an operation mode based on a type of the path-based automated driving assist mode; determining, by the processor, an override threshold for overriding the path-based automated driving assist mode on a first lateral side of the autonomous vehicle based on the operation mode; determining, by the processor, a driver override status based on the override torque threshold; and generating, by the processor, control signals to control the steering of the autonomous vehicle based on the driver override status and the driver torque.

A tire (100) rolls on a surface (105). A method (600) for providing maximum traction coefficient between the tire (100) and the surface (105) include steps for detecting a momentary slip of the tire (100) on the surface (105); detecting a momentary traction coefficient; forming a tuple (410, 510) from the slip and the current traction coefficient; choosing a characteristic curve (205, 305) from a number of predetermined characteristic curves (205, 305) on the basis of the tuple (410, 510), whereby each characteristic curve (205, 305) describes a traction behavior of the tire (100) or a corresponding characteristic pitch; determining the maximum traction coefficient on the basis of the selected characteristic curves (205, 305); and thus providing the maximum traction coefficient.

Systems and methods are directed to motion planning for an autonomous vehicle. In one example, a computer-implemented method for road surface dependent motion planning includes obtaining, by a computing system comprising one or more computing devices, surface friction data. The method further includes determining, by the computing system, one or more constraints for motion planning based at least in part on the surface friction data. The method further includes generating, by the computing system, a motion plan for an autonomous vehicle based at least in part on the one or more constraints.

A four wheel steering vehicle (1), in which front wheels (2f) and rear wheels (2r) can be steered in response to a steering input from a steering wheel (11), includes a rear wheel steering control unit (50) that variably controls a rear wheel steering device such that the rear wheels are steered in a prescribed relation to a steered angle of the front wheels. When the steering input is determined while the front wheel brake and the rear wheel brake are engaged, the rear wheel steering control unit disengages the rear wheel brake and steers the rear wheels. When the fore and aft inclination angle detected by an inclination sensor (40) provided on the vehicle is greater than a threshold value, the rear wheel steering control unit prohibits a steering of the rear wheels and keeps the rear wheel brake engaged even if the steering input is determined.

A method for influencing driving dynamics of a vehicle, in which the driving dynamics are influenced as a function of parameters allocated to a selected driving dynamics mode when the driving dynamics mode is activated, and the driving dynamics are influenced as a function of road state information representing a road state in the region of the vehicle when an automatic mode is activated.