DEVELOPING A REAL-TIME OBJECT DETECTION ALGORITHM DURING THE FLIGHT OF AN UNMANNED AERIAL VEHICLE

Abstract

A high-accuracy and high-speed anlgorithm is developed for detecting and differentiating any object directly from the UAV. It is based on the Canny border filtering and classification method. The algorithm is implemented and tested through Jetson Nano microcomputer, which enables real-time object detection and differentiation.