論文

査読有り
2015年

Development of Autonomous Wheelchair for Indoor and Outdoor Traveling

INTERNET OF THINGS: IOT INFRASTRUCTURES, PT II
  • Masashi Yokozuka
  • ,
  • Naohisa Hashimoto
  • ,
  • Kohji Tomita
  • ,
  • Osamu Matsumoto

151
開始ページ
91
終了ページ
96
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-319-19743-2_14
出版者・発行元
SPRINGER

In order to assist elderly people and disabled people, this paper describes development of autonomous wheelchair to travel in indoor and outdoor environments for providing traveling ability to any where. For this aim, the autonomous wheelchairs should have traveling-capability without choosing indoor and outdoor environments. Position detection is a key technology for autonomous driving since people decides a traveling direction from a current position and a destination. GPS is a fundamental technology for position detection. However GPS is not available in indoor cases, and GPS is not always available in outdoor cases when tall buildings occlude satellites. In these cases autonomous wheelchair has to detect a self-position by other sensor systems. In this study we have adopted a localization system utilizing 3D maps and a 3D laser range finder. By the 3D localization system our wheelchair system can detect a self-position robustly if the wheelchair is surrounded by obstacles such as pedestrians. To avoid collision our wheelchair system uses short and long term planning. The short planning finds a safe motion-pattern from every conceivable pattern by the simulation on a map. The long term planning generates a feasible route to destination. If the route generated by the long-term planner collides to some obstacles our wheelchair avoids collision by the short term planning. By the localization system and the planning system our wheelchair could operate in public spaces.

リンク情報
DOI
https://doi.org/10.1007/978-3-319-19743-2_14
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000365180000014&DestApp=WOS_CPL
URL
http://orcid.org/0000-0001-9796-0443
ID情報
  • DOI : 10.1007/978-3-319-19743-2_14
  • ISSN : 1867-8211
  • ORCIDのPut Code : 26486919
  • Web of Science ID : WOS:000365180000014

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