An automatic driving system includes an electronic control unit. The electronic control unit is configured to create a traveling plan including a control target value of automatic driving control of a vehicle based on a position of the vehicle of a map, a vehicle state, and an external environment, to calculate an abnormality value, to determine, based on the abnormality value, whether the vehicle is an a normal state, an abnormal state, or an intermediate state, and to create an abnormal traveling plan as the traveling plan when it has been determined that the vehicle is in the abnormal state.

An apparatus for controlling a vehicle includes a vehicle additional yaw moment calculator that calculates, based on a yaw rate of a vehicle, a vehicle additional yaw moment to be applied to the vehicle independently of a steering system, a slipping condition determiner that makes a determination as to a slipping condition of the vehicle, and an adjustment gain calculator that calculates an adjustment gain to adjust the vehicle additional yaw moment so as to reduce the vehicle additional yaw moment additional yaw moment when the vehicle is determined to be in the slipping condition, and increases the adjustment gain in accordance with a degree of a slip of the vehicle when the vehicle is determined to recover from the slipping condition.

A system for controlling a vehicle navigating a roadway, including a perception module that generates sensor data and outputs a cost map and traffic data associated with traffic objects, a behavior planning module that receives the cost map and the traffic data from the perception module and generates planner primitives, a training module that receives the cost map and the traffic data from the perception module, receives driver input from a vehicle operator, and trains the behavior planning module, a local planning module comprising a set of task blocks that receives the cost map from the perception module and the planner primitives from the behavior planning module, selects a task block, and generates control commands using the selected task block; and a control module comprising an actuation subsystem, wherein the control module receives the control commands from the local planning module and controls the actuation subsystem.

A vehicle can include throttle, braking, and steering systems. The vehicle can further include a computing system that obtains, from one or more sensors, data representing one or more of a velocity or an acceleration of the vehicle. The computing system can further determine an estimated weight of the vehicle based on the one or more of the velocity or the acceleration of the vehicle, and autonomously operate the throttle, braking, and steering systems of the vehicle based on the estimated weight of the vehicle.

A vehicle control device is equipped with a target steering angle generating unit adapted to generate a target steering angle for a vehicle from a relationship between acquired lane information and an attitude of the vehicle, during a period in which a low speed traveling state is being detected, or during a period until a predetermined condition from a mode transition time point is satisfied, and a steering angle control unit adapted to control the steering angle of the vehicle so as to agree with the generated target steering angle.

A method to park a vehicle in a parking space using a parking assistant is provided. The course of a parking maneuver is dynamically adapted to boundaries of the parking space that are changed during the parking maneuver by determining whether and in which direction the boundaries of the parking space change during the parking maneuver. An originally determined first trajectory is replaced by a second trajectory that is adapted to changed boundaries of the parking space and along which the parking maneuver is continued.

A yielding action assistance system for assisting a vehicle driver to take an appropriate action in yielding to a passing emergency vehicle. The yielding action assistance system comprises: a detector that detects a proximity of the emergency vehicle; an information collector that collects a road information and information about the emergency vehicle and other vehicle; a target zone determiner that sets and updates a target zone to pull over the vehicle based on the information about the other vehicle and the road; and a notifier that informs a driver about the target zone.

A computing system determines an estimated weight of a vehicle by measuring kinematic data of the vehicle, including at least one of a velocity or an acceleration of the vehicle. The computing system processes the data to determine an estimated weight of the vehicle. Based on the estimated weight of the vehicle, the computing system can autonomously operate the throttle, braking, and steering systems of the vehicle.

Provided is a vehicle travel control device which simultaneously achieves the behavioral stability of a vehicle and the continuity of travel assistance during vehicle travel assistance. The setting range of controlled variable to an actuator in travel assistance control is limited on the basis of the information having higher priority among road type information and road shape information. Thus, compared to when the setting range of the control variable is determined on the basis of only the road type information or the road shape information, it is possible to suppress excessive limitations on the applicable range/duration time of travel assistance.

A device of estimating a slip angle of vehicle wheel has an attitude-toward-road surface estimation section that uses a series of distances to measurement points on a road surface to estimate vehicle-body-road-surface coordinate conversion information (VCCI) for conversion from a vehicle-body coordinate system to a road-surface coordinate system, an on-road-surface inertia quantity calculation section that removes a gravity acceleration component from the vehicle-body inertia quantity to obtain inertia quantity caused by motion of a vehicle body and uses the VCCI to convert from the inertia quantity caused by the motion of the vehicle body to the road-surface coordinate system, and a wheel slip angle estimation section that estimates a sideslip angle of the vehicle wheel on the basis of a difference between a wheel acceleration vector and the acceleration vector converted to the road-surface coordinate system.