In a method for moving a vehicle out of a parking area, the vehicle obtains map information of the parking area and determines a current parking space of the vehicle and an exit location of the parking area. The vehicle determines a plurality of target departure routes from the current parking space to the exit location, and identifies blocking vehicles on the target departure routes that blocks it from reaching the exit. The vehicle estimates the preferability of each of the target departure routes based on a number of blocking vehicles on the target departure route and a difficulty level of removing the blocking vehicles from the target departure route. The vehicle then selects from the target departure routes a preferred departure route, and transmits requests to remove the blocking vehicles off the preferred departure route.

A navigation system for a host vehicle is provided. The system may comprise at least one processing device comprising circuitry and a memory. The memory includes instructions that when executed by the circuitry cause the at least one processing device to: receive a plurality of images acquired by a camera, the plurality of images being representative of an environment of the host vehicle; analyze the plurality of images to identify a presence in the environment of the host vehicle a navigation rule suspension condition; temporarily suspend at least one navigational rule in response to identification of the navigation rule suspension condition; and cause at least one navigational change of the host vehicle unconstrained by the temporarily suspended at least one navigational rule.

The disclosure provides an obstacle avoidance control method and device, an advanced driver-assistance system, a vehicle, and a medium. The method includes the steps of: receiving vehicle sensor data; calculating an obstacle safe boundary and a lane safe boundary based on the vehicle sensor data; and determining a passing region and a passing status for a current vehicle according to the obstacle safe boundary and the lane safe boundary.

A braking control apparatus for controlling a braking operation for an own vehicle is configured to: acquire information on an object detected around the own vehicle; calculate, when a collision between the own vehicle and the object is predicted based on both an estimated route of the object estimated based on the acquired information on the object and an estimated route of the own vehicle, a collision range in the own vehicle at a collision timing between the own vehicle and the object or a collision range in the object at the collision timing; and control, according to a positional relationship between a predetermined braking-unrequired range in the own vehicle and the calculated collision range in the own vehicle or a positional relationship between a predetermined braking-unrequired range in the object and the calculated collision range in the object, whether to perform the braking operation for the own vehicle.

An autonomous vehicle control device controls an autonomous vehicle provided with a warning sound output device. The autonomous vehicle control device prohibits transition to a traveling mode when an abnormality occurs in the warning sound output device. Before traveling, the autonomous vehicle control device may execute sound output control to cause the warning sound output device to output a warning sound, and determine whether the abnormality occurs based on output data of the warning sound output by the warning sound output device.

A method for operating a driving assistant for the automated lateral guidance of a motor vehicle. The method includes: executing an automated lane guidance of the motor vehicle in a first traffic lane; ascertaining a hindrance situation of a further motor vehicle due to the motor vehicle; decision for the automated lane opening of the first traffic lane taking the hindrance situation into account; executing an automated lane change into a second traffic lane for opening the lane; executing an automated lane guidance in the second traffic lane after opening the lane. A device for carrying out the method is also described.

Techniques for accurately predicting and avoiding collisions with objects detected in an environment of a vehicle are discussed herein. A vehicle safety system can implement a model to output data indicating an intersection probability between the object and a portion of the vehicle in the future. The model may employ a rear collision filter, a distance filter, and a time to stop filter to determine whether a predicted collision may be a false positive, in which case the techniques may include refraining from reporting such predicted collision to other another vehicle computing device to control the vehicle.

A method and apparatus for controlling a vehicle are provided. A lane in which a target vehicle is driving, and an object in a vicinity of the lane are detected from an image of surroundings of the target vehicle, a degree of danger of the object is evaluated, driving information of the target vehicle is determined based on the degree of danger, and the target vehicle is controlled based on the driving information.

An electronic control system is configured to control operation of a platoon including a plurality of vehicles. The electronic control system may be configured one or more of operate each of the vehicles to provide operation emulating the lowest non-platooning vehicle performance capability among the plurality of vehicles of the platoon, operate an individualized predictive cruise control (IPCC) process for each of the vehicles and a corresponding supervisory safety process for the platoon, and operate a cooperative predictive cruise control (CPCC) process for each of the vehicles and a corresponding supervisory safety process for the platoon.

A driving handover control device includes a memory and a processor coupled to the memory. In a case in which driving is handed over from a first state in which a vehicle is traveling by remote driving by a first driver from outside the vehicle or by occupant driving by the first driver in the vehicle, to a second state in which the vehicle travels by the remote driving or the occupant driving by a second driver who is different from the first driver, the processor is configured to cause transition from the first state to a third state in which the vehicle is caused to travel by automatic driving, and then cause transition from the third state to the second state.