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Volume 2018, Issue SAI-032
The 32nd SIG-SAI
Displaying 1-1 of 1 articles from this issue
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Haruaki UEDA, Yusuke HOSOYA, Kazunori IWATA, Nobuhiro ITOArticle type: SIG paper
2018 Volume 2018 Issue SAI-032 Pages 01-
Published: October 13, 2018
Released on J-STAGE: August 31, 2021
RESEARCH REPORT / TECHNICAL REPORT FREE ACCESSIn this paper, we discuss a map generation tool for RobocupRescue Simulation(RRS). RRS is a multi-agent test-bed and simulates large-scale natural urban disasters and rescue activities. RRS needs many maps of various regions for disaster analysis. However, RRS has provided a small number of map data yet. The reason is that an existing map generation tool creates maps which need a large number of manual modifications in order to be used in RRS. In addition, manually correcting errors takes a lot of time. Therefore, in order to correct errors in shorter time, we implemented a new tool that added functions to the existing tool. As a result, we confirmed the effectiveness of the implementation approach through many map creation.
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