Abstract: This application discloses a vehicle drivable area detection method, an autonomous driving assistance system, and an autonomous driving vehicle. The method includes: processing, by using a neural network, image data obtained by a camera apparatus, to obtain a first probability distribution of an obstacle; obtaining a second probability distribution of the obstacle based on a time of flight and an echo width of a radar echo signal; and obtaining, based on the first probability distribution of the obstacle and the second probability distribution of the obstacle, a drivable area of a vehicle represented by a probability, where the probability is a probability that the vehicle cannot drive through the area. The autonomous driving assistance system includes a camera apparatus, at least one radar, and a processor. The system is configured with the technical solutions that can implement the method. The autonomous driving vehicle includes the foregoing autonomous driving assistance system.

Abstract: An automated parking interaction method and apparatus are provided. The method includes: receiving a parking instruction and presenting a parking interaction interface on a display screen in response to the parking instruction; detecting a touch operation performed on the parking interaction interface, so that a vehicle icon moves in the parking interaction interface; obtaining a position of the vehicle icon after the vehicle icon moves in the parking interaction interface; attaching the vehicle icon to a target virtual parking space based on the position of the moved vehicle icon, so that the vehicle icon matches the target virtual parking space; and generating a parking response instruction, so that an automated parking system controls a to-be-parked vehicle to drive into an actually available parking space indicated by the target virtual parking space.