Basement parking-oriented robust visual feature matching and detection method

• Main Authors: CHU XINNING, WEN YONGKUN, TIAN WEI
• Format: Patent
• Language: Chinese; English
• Published: 22.07.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention relates to a robust visual feature matching and detection method for basement parking, and the method comprises the steps: collecting an original RGB image, and carrying out the offline training of a feature point detection deep learning model, and obtaining a trained feature point detection model; inputting to-be-detected data into the feature point detection deep learning model, and performing feature point detection to obtain a corresponding feature point detection result; inputting the to-be-detected RGB image and the true value label into the storage location detection deep learning model for offline training to obtain a trained storage location detection model; inputting the RGB image to be detected into the garage location detection deep learning model, and carrying out garage location detection to obtain a corresponding garage location detection result; and matching the feature point detection result with the storage location detection result to obtain a matching result. Compared with th