Research on available parking space detection in outdoor parking lot based on Haar-Like feature and enhanced AdaBoost
Intelligent parking has a wide range of application scenarios.In the specific implementation process,it is necessary to detect the empty parking space in the parking lot through the computer vision method.In order to design the corresponding intel-ligent detection method,the research process uses the Haar-Like feature extraction algorithm to obtain the visual features of the empty space,and then uses the enhanced AdaBoost model for data classification,so as to identify the empty space.After the perfor-mance experiment,the recognition accuracy of the algorithm model in small scenes can reach more than 96%,which has a certain application prospect.
Haar-Like featureenhanced AdaBoost modeloutdoor empty parking space detection algorithm