The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2018
Session ID : 2P1-K02
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Efficient Local Replacement of Point Clouds for the Multiresolution Database of Topographic Data
*Koichiro KATOShin USUKIYuichi KOBAYASHIKenjiro T. MIURA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

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.

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© 2018 The Japan Society of Mechanical Engineers
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