Based on a recognition result of a recognition sensor installed in a mobile body, a mobile body control system calculates a first target path for moving to a destination while avoiding a risk around the mobile body. Further, based on the first target path, the mobile body control system calculates a second target path having higher granularity than the first target path. Then, the mobile body control system controls the mobile body so as to follow the second target path. The mobile body control system determines in which field the mobile body moves, a normal field or a specific field having more risks than the normal field. When the mobile body moves in the specific field, the mobile body control system reduces a frequency of update of the first target path compared with that when the mobile body moves in the normal field.

Disclosed are devices, systems and methods related to direct and indirect methods for detecting wind speed and direction during driving. An example method may include estimating, by a processor of a vehicle controller, a speed and a direction of wind movement near the vehicle based on a first sensor output from a wind sensor, or a second sensor output from a non-wind sensor, or a combination of the first sensor output and the second sensor output, wherein a primary purpose of the wind sensor is wind detection, and a primary purpose of the non-wind sensor is different from wind detection, and generating a control output indicative of a vehicle disturbance force resulting from the wind based on the estimated speed and direction of the wind movement.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

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.

A vehicle may have actuators, including a drive device with a drive motor that can act on a drive wheel, a brake device with a brake that can act on a drive wheel, and/or a steering device with a steering sensor by way of which the steering angle of a wheel is adjustable, a vehicle movement controller, and a setpoint value input means, a setpoint value processing means for detecting setpoint value settings of the setpoint value input means, to calculate a yaw acceleration setpoint value and translational acceleration setpoint values from the setpoint value settings. The setpoint value processing means may be configured to transfer the calculated yaw acceleration setpoint value and translational acceleration setpoint values to the vehicle movement controller, which is configured to actuate one or more of the actuators such that the yaw acceleration setpoint value and the translational acceleration setpoint values are reached.

A lane departure prevention system includes a controller configured to control a braking force of vehicle wheels such that a lane departure prevention yaw moment is applied to a vehicle. The controller determines whether there is a likelihood that the vehicle enters a spinning state based on at least one of a difference between an actual yaw rate and a normative yaw rate of the vehicle calculated based on a steering angle, a vehicle speed, and the lane departure prevention yaw moment, and a degree of braking slip of a turning inside wheel when the lane departure prevention yaw moment is a yaw moment for preventing departure of the vehicle from a lane to a turning outside, and applies a spin prevention yaw moment to the vehicle when it is determined that there is a likelihood that the vehicle will enter the spinning state.

An apparatus and a method for controlling motion of a vehicle to improve turning motion performance are provided. The processor determines a riding position of a user, receives information about a steering angle of the vehicle, and outputs a vehicle control signal with regard to turning motion performance according to at least one of a phase difference between a yaw rate and lateral acceleration or a lateral slip angle with respect to the riding position, based on the received steering angle. A controller controls the vehicle in accordance with the vehicle control signal. The apparatus provides a passenger of the vehicle with optimal turning motion performance.

A method includes identifying mass distribution data of an autonomous vehicle (AV). The mass distribution data is associated with a first load proximate a first distal end of a first axle of the AV and a second load proximate a second distal end of the first axle of the AV. The method further includes determining, based on the mass distribution data, one or more handling maneuver limits for the AV. The method further includes causing the AV to travel a route based on the one or more handling maneuver limits.

Techniques for using a set of non-steering variables to estimate an angle of a wheel are described. For example, a yaw rate, a linear velocity of a wheel, and vehicle dimensions (e.g., offset between the wheel and a turn-center reference line), can be used to estimate the angle of the wheel. Among other things, estimating angles based on non-steering variables may provide redundancy (e.g., when determined in parallel with steering-based command angles or other commanded angles) and/or may be used to validate commanded angles based on steering components.

A vehicle-behavior notification device includes a yaw rate detector and a notifier. The yaw rate detector is configured to detect a yaw rate of a vehicle body of a vehicle. The notifier is configured to notify a driver who drives the vehicle of the yaw rate detected by the yaw rate detector.