A method of controlling a vehicle having wheels provided with tires resting on a surface, the method using a model of the physical behavior of each tire as a function of a sideslip angle (β.sub.ij) for each tire relative to the surface. The model is obtained by implementing an adaptive algorithm that selectively applies an affABREGEine model (Z1), a DUGOFF model (Z2), or a constant model (Z3).

A communication system for a vehicle comprises a mechanism for sensing a motion status of a vehicle, a control device, plurality of data acquisition sensors, and one or more alerting device activation circuits. The communication system is customizable with the plurality of data acquisition sensors and one or more alerting device activation circuits based upon the needs of the vehicle.

Apparatus for estimating a grip factor of at least one wheel comprising: a control unit configured to process a current slip angle of said wheel; a storage unit, within which, in a consultation table, a plurality of grip curves correlating a plurality of values of a steering parameter comprising the rack force with a plurality of values of the slip angle are recorded; along a same curve, the value of the grip factor remains unchanged; wherein the control unit is configured to cyclically estimate at least one raw value of the grip factor of said at least one wheel based on the position of a current condition within the consultation table, as a function of the current slip angle and of the current rack force.

A hybrid all-wheel-drive vehicle includes an engine, first and second motor generators, a first clutch between the second motor generator and a front wheel, a second clutch between the second motor generator and a rear wheel, and a control unit that controls, based on a vehicle traveling state, the engine, the motor generators, and the clutches. The first motor generator is coupled to the engine and the front wheel in a manner capable of transmitting torque. During regeneration, the control unit engages the first clutch and disengages the second clutch. When the all-wheel-drive vehicle shifts from motor traveling to hybrid traveling, the control unit restarts the engine by operating the first motor generator and regulates engagement forces of the clutches and output torque of the second motor generator to compensate driving torque of the front wheel by the second motor generator while maintaining driving torque of the rear wheel.

A trajectory for a vehicle can be generated using a lateral offset bias. The vehicle, such as an autonomous vehicle (AV), may be directed to follow reference trajectory for through an environment. The AV may determine a segment associated with the reference trajectory based on curvatures of the reference trajectory, determine a lateral offset bias associated with the segment based at least in part on, for example, one or more of a speed or acceleration of the vehicle, and determine a candidate trajectory for the autonomous vehicle based at least in part on the lateral offset bias. The candidate trajectory may then be used to control the autonomous vehicle.

A yaw rate estimation system for a vehicle includes a camera, a yaw rate sensor, wheel sensors, an accelerometer and a steering sensor. A control includes a processor that estimates the actual yaw rate of the vehicle by processing (i) a first yaw rate derived from yaw rate data provided by the yaw rate sensor, (ii) a second yaw rate derived from wheel sensor data provided by the wheel sensors, (iii) a third yaw rate derived from acceleration data provided by the accelerometer, and (iv) a fourth yaw rate derived from steering data provided by the steering sensor. The vehicular control system utilizes (i) image data captured by the camera as the vehicle is being driven along a road and (ii) the estimated actual yaw rate of the vehicle as the vehicle is being driven along the road.

A control system for a work vehicle includes an acceleration detection device and a controller. The acceleration detection device detects an acceleration of the work vehicle. The controller determines whether the acceleration is greater than a first threshold and reduces the a vehicle speed when the acceleration continues to be equal to or greater than the first threshold over a predetermined first determination time period.

A method for quantifying vehicle path following performance, the method comprising; obtaining samples of path following performance (I), selecting a subset of the path following performance samples such that the selected samples follow a pre-determined statistical extreme value distribution, parameterizing the pre-determined statistical extreme value distribution based on the selected samples of path following performance, and quantifying vehicle path following performance based on the parameterized statistical extreme value distribution.

A method for operating a driver assistance function to support a lateral control of a vehicle is provided. A permissible range for a steering torque component which the driver assistance function is able to exert on the steering of the vehicle is predefined. The permissible range is specified by upper and lower limits. The upper and lower limits of the permissible range be adapted as a function of a current vehicle state. The vehicle state is given relative to a lane center, for example, by the position, the velocity, the acceleration and the sudden motion, by the respective component of this variable in the lateral direction. An adjustable range of the driver feedback is determined based on the vehicle state and the lateral acceleration. From this and the consideration of a disturbance compensation, the permissible range of the steering torque component of the assistance function is ascertained.

Aspects of the disclosure provide for generating distributions for hypothetical or potentially occluded objects. For instance, a location for which to generate one or more distributions may be identified. Observations of road users by perception systems of a plurality of autonomous vehicles may be accessed. Each of these observations may identify a characteristic of one of the road users. A distribution of the characteristic for the location may be determined based on the observations. The distribution may be provided to one or more autonomous vehicles in order to enable the one or more autonomous vehicles to use the distribution to generate a characteristic for a hypothetical occluded road user and to respond to the hypothetical occluded road user.