ロボットとの相互通信のための地勢の多重解像度データベースのROS化

抄録

Collecting the damage situation is required when large-scale disasters occur. Even in places where humans can not enter, information can be collected by using unmanned aerial vehicles(UAV). Because of the past research, it is possible to grasp the disaster situation efficiently by creating a database with multiple resolutions of large-scale terrain data. The database needs updating, but it is not efficient if the whole database is rebuild. In this paper, we focus on the multiresolution database of the large scale terrain data and propose an efficient updating method of it by using UAV and ROS.