A braking control system includes control circuitry configured to control first and second brakes in a vehicle. The control circuitry is configured to calculate a target braking force in accordance with the operation amount of a brake pedal by a driver, determine a first braking force and a second braking force based on the target braking force, and control each of the first and second brakes such that each of the determined braking forces is generated in the vehicle. The first and second braking forces are determined such that a sum of the first and second braking forces becomes the target braking force and a pitch behavior specified by a preset pitch behavior model occurs in the vehicle.

A vehicle includes a frame having a left side and a right side, a plurality of wheels including a plurality of left wheels at the left side of the frame and a plurality of right wheels at the right side of the frame, and a vehicle stability system including an actuator device selectively actuated to balance the vehicle on either the plurality of left wheels or the plurality of right wheels while maintaining a space between the other of the plurality of left wheels or the plurality of right wheels and a ground surface.

A motion planner of an autonomous vehicle's computer system uses reconfigurable collision detection architecture hardware to perform a collision assessment on a planning graph for the vehicle prior to execution of a motion plan. For edges on the planning graph, which represent transitions in states of the vehicle, the system sets a probability of collision with a dynamic object in the environment based at least in part on the collision assessment. Depending on whether the goal of the vehicle is to avoid or collide with a particular dynamic object in the environment, the system then performs an optimization to identify a path in the resulting planning graph with either a relatively high or relatively low potential of a collision with the particular dynamic object. The system then causes the actuator system of the vehicle to implement a motion plan with the applicable identified path based at least in part on the optimization.

A method performed by an intention indicating system of a vehicle, for indicating to a potential observer an ongoing or impending autonomous kinematic action of the vehicle. The method includes determining an ongoing or impending autonomous kinematic action of the vehicle and performing a vertical vehicle motion representing the autonomous kinematic action, the vertical vehicle motion including raising and/or lowering a front portion and/or a rear portion of a vehicle body of the vehicle.

A motion planner of an autonomous vehicle's computer system uses reconfigurable collision detection architecture hardware to perform a collision assessment on a planning graph for the vehicle prior to execution of a motion plan. For edges on the planning graph, which represent transitions in states of the vehicle, the system sets a probability of collision with a dynamic object in the environment based at least in part on the collision assessment. Depending on whether the goal of the vehicle is to avoid or collide with a particular dynamic object in the environment, the system then performs an optimization to identify a path in the resulting planning graph with either a relatively high or relatively low potential of a collision with the particular dynamic object. The system then causes the actuator system of the vehicle to implement a motion plan with the applicable identified path based at least in part on the optimization.

A vehicle provided with an electric motor configured for outputting warning through torque control of the motor and a method of outputting warning for the same, may include: recognizing, by a controller, a stop point or a deceleration section where a pause or deceleration of the vehicle is required or recommended; setting, by the controller, a virtual road surface facility based on the stop point or a start point of the deceleration section; outputting, by the controller, information on a set position of the set virtual facility or a distance remaining from the vehicle to the set position; and implementing, by the controller, driving feeling passing through the set virtual road surface facility as a pitching motion of the vehicle using a torque control of the electric motor according to a vehicle speed when the electric vehicle passes the set position.

A device and a method for improving a turning motion of a vehicle may improve turning stability by cooperative control of an electric motor and the electronic controlled suspension (ECS) and improve behavior stability by optimizing a pitch/roll behavior by allowing realization of a target yaw moment required to improve turning characteristic of the vehicle to be reinforced by not only a yaw moment directly generated by a braking torque or a driving torque of the electric motor, but also a yaw moment indirectly generated by a load movement caused by controlling a damping force of the electronic controlled suspension (ECS).

Method and system that includes receiving data about (1) a driver's expected vehicle performance and (2) a difference between the driver's expected vehicle performance and an estimated actual vehicle performance, and based on the received data determining control signals for an electric drivetrain system to effect the driver's expected vehicle performance. A vehicle control system that incorporates one or machine learning functions to control a drivetrain that is decoupled from a driver.

A damping control system for a vehicle having a suspension located between a plurality of ground engaging members and a vehicle frame includes at least one adjustable shock absorber having an adjustable damping profile.

A damping control system for a vehicle having a suspension located between a plurality of ground engaging members and a vehicle frame includes at least one adjustable shock absorber having an adjustable damping profile.