Data fusion method, apparatus and non-transitory computer-readable storage medium to park a vehicle

A data fusion apparatus configured for parking a vehicle, the apparatus comprising:

• a non-transitory memory storage storing processor-executable instructions;
• and
• at least one processor coupled to the memory to receive the processor-executable instructions, wherein, upon execution of the processor executable instructions, the at least one processor:
• obtaining weather information of a current location of the vehicle;
• capturing a video segment of a surrounding environment of the vehicle;
• inputting the weather information and the video segment into a weather classification model to obtain a weather condition probability;
• obtaining a weather impact factor according to the weather condition probability;
• determining a fusion area between visual image data and radar point cloud data according to a length of a body of the vehicle, the weather condition probability, and the weather impact factor;
• and
• determining whether to perform data fusion between the visual image data and the radar point cloud data to generate a parking scene image based on the relationship between distance information of the radar point cloud data and the fusion area.

A non-transitory computer readable storage medium storing processor-executable instructions which, when executed by at least one processor, cause the at least one processor to perform a data fusion method to park a vehicle, the data fusion method comprising:

• obtaining weather information of a current location of the vehicle;
• capturing a video segment of a surrounding environment of the vehicle;
• inputting the weather information and the video segment into a weather classification model to obtain a weather condition probability;
• obtaining a weather impact factor according to the weather condition probability;
• determining a fusion area between visual image data and radar point cloud data according to a length of a body of the vehicle, the weather condition probability, and the weather impact factor;
• and
• determining whether to perform data fusion between the visual image data and the radar point cloud data to generate a parking scene image based on the relationship between distance information of the radar point cloud data and the fusion area.