A parking assist system includes: a control device configured to control an autonomous parking operation to move a vehicle autonomously to a prescribed target parking position; a brake input member configured to receive a brake operation of the vehicle by an occupant, and a vehicle state detecting device configured to detect a state of the vehicle, wherein during control of the parking operation, when the control device determines that the state of the vehicle detected by the vehicle state detecting device is a prohibition state in which the parking operation should be prohibited, the control device suspends the parking operation so as to stop a movement of the vehicle and does not resume the parking operation unless the brake operation is detected.

In one example, an autonomy system assigns a trust level to a vehicle, wherein the trust level is a lowest trust level. The autonomy system may modify the trust level to fully autonomous in response to an indicator light providing a fully autonomous status prior to a maneuver as indicated by the indicator light. Additionally, the autonomy system may modify the trust level to driver controlled in response to the indicator light providing a driver controlled status prior to the maneuver as indicated by the indicator light.

A vehicle control device includes: a control portion that makes, of a plurality of shock absorbers included in a vehicle, a first damping force of at least one shock absorber that is located on a first direction side on which acceleration acts in a longitudinal direction of the vehicle larger than a second damping force of at least one shock absorber of the plurality of shock absorbers that is located on a second direction side opposite to the first direction in the longitudinal direction of the vehicle before acceleration acting on the vehicle is detected by an acceleration sensor due to acceleration or deceleration of the vehicle.

A system and method for actuating a vehicle operation power mode that include receiving sensor data from at least one sensor of a vehicle. The system and method also include determining if at least one vehicle operation requirement is met based on analysis of the sensor data and actuating an electric powered operation mode of the vehicle based on determining that the at least one operation requirement is met. The system and method further include controlling the vehicle to be powered by electrical power supplied by an electric battery of the vehicle based on the actuation of the electric powered operation mode.

A system includes a primary control module, a stability status module, and a supervisory control module. The primary control module is configured to determine at least one control action for at least one of an electronic limited slip differential and an aerodynamic actuator of a vehicle based on a driver command. The stability status module is configured to determine whether at least one component of the vehicle is stable or unstable based on an input from a sensor on the vehicle. The at least one component includes at least one of a vehicle body, a front axle, a rear axle, front wheels, and rear wheels. The supervisory control module is configured to adjust the at least one control action when the at least one component is unstable.

A method for guiding a vehicle based on an open width of a roadway includes detecting a left road edge, a right road edge, an obstacle, and a free or open space on a the road ahead using an image sensor and radar installed so as to be oriented forwards in the vehicle. The width of the free/open space is determined at a plurality of positions over a predetermined distance from a front of the vehicle, and a determination is made as to whether the vehicle can traverse the road ahead based on a comparison between the width of the free space at each of the plurality of positions over the predetermined distance and a predetermined width of the vehicle.

According to an embodiment, a vehicle control device includes a recognizer configured to recognize a surrounding environment of a vehicle and recognize a locking state of the vehicle and a driving controller configured to perform driving control of one or both of a speed and steering of the vehicle on the basis of a recognition result of the recognizer. The driving controller causes the vehicle to depart when a door of the vehicle is locked after an occupant of the vehicle gets out of the vehicle in a predetermined area in a state in which predetermined conditions are satisfied.

A vehicle control device executes a traveling control that controls traveling of an own vehicle to enable the own vehicle to follow a preceding vehicle traveling in front of the own vehicle. The vehicle control device includes: an environment prediction unit that predicts whether an adverse-effect change has occurred in a surrounding environment around the own vehicle, the adverse-effect change being likely to have an adverse effect on a fuel economy of the own vehicle; and an acceleration control unit configured to execute a prediction control that enables an acceleration of the own vehicle to be limited when the environment prediction unit predicts that the adverse-effect change has occurred in the surrounding environment.

Method and apparatus are disclosed for inter-vehicle cooperation for vehicle self height estimation. An example vehicle includes an inter-vehicle communication module and a body control module. The body control module broadcasts a request for images via the inter-vehicle communication module. The body control module also performs semantic segmentation on the images, generates a composite image of the vehicle based on the segmented images, and generates a three dimensional representation of the vehicle based on the composite image. Using the three dimensional representation, the body control module determines a height of the vehicle, and based on the height, controls the vehicle to avoid obstacles.

Technologies for assisting vehicles with changing road conditions includes vehicle assistance data based on crowd-sourced road data received from a plurality of vehicles and/or infrastructure sensors. The crowd-sourced road data may be associated with a particular section of roadway and may be used to various characteristics of the roadway such as grade, surface, hazardous conditions, and so forth. The vehicle assistance data may be provided to an in-vehicle computing device to assist or facilitate traversal of the roadway.