Abstract: Provided are an automatic parking control method and apparatus, relating to the industrial field of vehicles. The method comprises: when a speed of a vehicle is in a preset speed range and a time that the speed of the vehicle is in the preset speed range is greater than or equal to a preset time, collecting image data and radar data around the vehicle; inputting the image data and the radar data into a preset convolutional neural network model, and outputting at least one parking slot information; selecting target parking slot information according to a received parking-in selection operation; and according to the target parking slot information, generating a vehicle parking-in track for the vehicle to automatically park according to the vehicle parking-in track.

Abstract: A reversing control method and system and a vehicle, which relate to the technical field of vehicles. In the method, after receiving a reversing instruction for a vehicle, a first reversing trajectory of the vehicle can be acquired; the vehicle can be controlled to reverse according to the first reversing trajectory, such that a driver does not need to control the vehicle, thus avoiding tedious operation by the driver; during a reversing process the first reversing trajectory can be adjusted according to first environmental obstacle information of the vehicle, to acquire a second reversing trajectory; and the vehicle is then controlled to reverse according to the second reversing trajectory. Thus, the danger caused by environmental obstacles during a reversing process may be avoided, and potential safety hazards in process of reversing a vehicle are eliminated.

Abstract: Provided are an automatic parking control method and apparatus, relating to the industrial field of vehicles. The method comprises: when a speed of a vehicle is in a preset speed range and a time that the speed of the vehicle is in the preset speed range is greater than or equal to a preset time, collecting image data and radar data around the vehicle; inputting the image data and the radar data into a preset convolutional neural network model, and outputting at least one parking slot information; selecting target parking slot information according to a received parking-in selection operation; and according to the target parking slot information, generating a vehicle parking-in track for the vehicle to automatically park according to the vehicle parking-in track.