Research on runway foreign object debris detection system based on wheeled robots and small object recognition technology
This paper focuses on the issue of automatic detection and localization of foreign objects debris(FOD)on the runway of regional airports,where the intervals between aircraft takeoffs and landings are relatively large.A runway FOD automatic detection and localization system is proposed,based on a wheeled robot equipped with autonomous navigation functions,combined with industrial cameras and a LiDAR system.The research primarily employs a computer vision algorithm that integrates image block processing with a deep learning framework to automatically detect and localize small objects on the runway.Additionally,the system is capable of autonomous runway inspection and navigation.In the study,the integration of the system prototype and a series of on-site tests in the runway environment are successfully conducted,achieving an overall detection rate of 80%for small objects with a diameter of 5 mm,which has the advantage for a further research and positive results for the FOD detection on this type of runway.
万方数据
维普
