主催: 一般社団法人 日本機械学会
会議名: ロボティクス・メカトロニクス 講演会2018
開催日: 2018/06/02 - 2018/06/05
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). By comparing information acquired in advance and information obtained from UAV, it is possible to detect the damage situation. In the past research, it is possible to grasp the disaster situation efficiently by creating a database with multiple resolution 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.