Real-time control of unmanned aerial vehicle by object detection for loss assessment

Abstract

During a loss assessment after a disaster, a drone is useful to take the photos of the building roof. However, there is a possibility of touching with obstacles and persons when using drone. Therefore, in this study, we developed the system that can control drone in real-time by combining the object detection called YOLOv2 with the drone control program. By outdoor test flights, we confirmed that the system can recognize the person's position and control the drone’s movement according to the position.