A racing coach device stores a first path of travel along a racetrack over a first time period and a second path of travel along the racetrack over a second time period. The racing coach device identifies, for each of a plurality of geolocations along the racetrack, one of the first path of travel or the second path of travel that is associated with a shorter duration of time over which the user traversed a segment of the path of travel associated with each of the plurality of geolocations. The device determines an optimal path of travel along the racetrack based on the identified first and second path of travel for each segment of the path of travel at each of the plurality of geolocations that results in a calculated lap time to traverse the racetrack that is less than the first time period and the second time period.

Disclosed herein is an apparatus for driving rear-wheels of an environment-friendly vehicle. The apparatus for driving rear-wheels may include: a rear-wheel driver including a first motor and a second motor configured to respectively drive first and second rear wheels; a rear-wheel reducer configured to decelerate drive forces of the first and second motors and transmit the respective decelerated drive forces to the first and second rear wheels; a brake configured to releasably fix the rear-wheel reducer to a vehicle body; and a controller configured to control the rear-wheel driver, the rear-wheel reducer, and the brake. The rear-wheel reducer may include: a first planetary gear set disposed between an output end of the first motor and the first rear wheel; a second planetary gear set disposed between an output end of the second motor and the second rear wheel; and a ring gear coupled to the first and second planetary gear sets.

Aspects of the disclosure relate to testing predictions of an autonomous vehicle relating to another vehicle or object in a roadway. For instance, one or more processors may plan to maneuver the autonomous vehicle to complete an action and predict that the other vehicle will take a responsive action. The autonomous vehicle is then maneuvered towards completing the action in a way that would allow the autonomous vehicle to cancel completing the action without causing a collision between the first vehicle and the second vehicle, and in order to indicate to the second vehicle or a driver of the second vehicle that the first vehicle is attempting to complete the action. Thereafter, when the first vehicle is determined to be able to take the action, the action is completed by controlling the first vehicle autonomously using the determination of whether the second vehicle begins to take the particular responsive action.

A method can be used to control a steer-by-wire steering system in an emergency steering mode. The method comprises checking a steering system for the presence of a fault state and upon detection of a fault implementing the emergency steering mode, which involves determining a setpoint position of a steering tie rod using a setpoint wheel steering angle, determining a front wheel to be braked and a brake pressure to attain the setpoint position with a control unit, transmitting the front wheel to be braked and the brake pressure to a brake system, braking the front wheel to be braked, and increasing a torque provided by a wheel drive to compensate for a loss of speed of the motor vehicle caused by the braking of the front wheel to be braked.

The disclosure relates to a method for generating a reference trajectory within a lane for a vehicle. The method comprises receiving at least one vehicle current state parameter describing a current state of the vehicle (S11). The current state of the vehicle comprises at least a current position of the vehicle. Furthermore, a destination parameter describing a destination to be reached by the vehicle (S12), and at least one route parameter describing a route for reaching the destination (S13) are received. Moreover, the method comprises estimating a power loss being caused when traveling from the current position of the vehicle to the destination (S14). The reference trajectory within the lane is determined such that it minimizes the power loss and leads to the destination (S15). Additionally, a method for operating a vehicle is presented. According to this method, a reference trajectory is generated in accordance with the above method (S21) and at least one control signal is provided for controlling a motion of the vehicle along the reference trajectory (S22). Furthermore, a data processing apparatus, a vehicle and a computer-readable medium are presented.

Controlling an actual slip of at least one driven axle of a motor vehicle with at least one axle having at least one wheel and a one drive unit for providing a drive torque for the axle and for the wheel can be carried out by a control device for controlling the drive unit. The control device can be configured for establishing a first actual speed of the motor vehicle; establishing a second actual speed of the at least one wheel; calculating a target speed of the at least one wheel for the established first actual speed taking into account parameters; determining an actual slip of the at least one wheel with respect to a substrate on which the motor vehicle is being moved; when the actual slip exceeds a defined first limit slip, generating a limit torque by which the drive torque produced by the drive unit is adjusted.

A driver assistance system for automated longitudinal guidance of a motor vehicle configured to detect at least one turning opportunity for the motor vehicle, and to reduce the speed of the motor vehicle in accordance with the at least one detected turning opportunity.

A computer implemented method for scenario generation for autonomous vehicle navigation that can include defining a cellular automaton layer that defines a road network level behavior with at least one rule directed to pathways by vehicles on a passageway for travel. The method may further include defining an active matter layer that defines a vehicle level behavior with at least one rule directed to movement of the vehicles on an ideal route for the pathways; and defining a driver agent layer that defines driving nature with at least one rule that impacts changes in the vehicle level behavior dependent upon a characterization of driver behavior. The method may further include combining outputs from the different layer to provide scenario generations for autonomous vehicle navigation. The combining of the outputs can utilize a pseudo random value to determine at an order in the execution and duration of execution for the layers.

The present invention obtains a controller and a control method capable of appropriately assisting with driving by a rider.

In the controller and the control method according to the present invention, an acquisition section of a controller (60) acquires yaw rate information of a traveling straddle-type vehicle (100), and in a control mode in which behavior control operation to make the straddle-type vehicle (100) automatically decelerate or automatically accelerate is performed, an execution section of the controller (60) changes the behavior control operation according to the yaw rate information.

Provided are methods for vehicle state estimation based on sensor data, which can include receiving the sensor data generated by one or more sensors, calculating a cornering stiffness value associated with the vehicle, predicting a lateral velocity value associated with the vehicle based on the cornering stiffness value, and outputting a set of vehicle state variables indicative of a current state of the vehicle at least by inputting the lateral velocity value into a recursive filter. Some methods described also include updating the cornering stiffness value based on the set of vehicle state variables, updating the lateral velocity value based on the updated cornering stiffness value, and updating the set of vehicle state variables based on the updated lateral velocity value. Systems and computer program products are also provided.