Grasp of disaster emergency information using a terrain database by flying robots

Abstract

Due to the frequent occurrence of large-scale disasters such as earthquakes, tsunamis, volcanic eruptions, and floods of rivers, the demand for emergency response, restoration, and preventive disaster using robot technology has been increasing. One of the robot technologies is grasp of the damage situation using a flying robot which has been developed rapidly in recent years. Therefore, in this research, using images of the disaster site obtained from the flying robot and the terrain database which stores 3-D data before the disaster occurs, we aim to efficiently detect the collapse of electric poles, which are artificial objects, and the water level difference before and after the damage of rivers which are natural objects. By detecting these two disaster situations, we show the validy of our methods to grasp the damage situation using the terrain database.