移動ロボットにおける不動領域グリッドマップを用いた潜在的な動物体に頑健な地図生成
移動ロボットにおける不動領域グリッドマップを用いた潜在的な動物体に頑健な地図生成
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2014/02/01
タイトル(英語): Robust Mapping for Mobile Robot Based on Immobile Area Grid Map Considering Potential Moving Objects
著者名: 伊藤 明久(電気通信大学),高橋 桂太(電気通信大学),金子 正秀(電気通信大学)
著者名(英語): Akihisa Ito (The University of Electro-Communications), Keita Takahashi (The University of Electro-Communications), Masahide Kaneko (The University of Electro-Communications)
キーワード: 移動ロボット,SLAM,占有グリッドマップ,潜在的な動物体,不動領域グリッドマップ mobile robot,SLAM,occupancy grid map,potential moving object,immobile area grid map
要約(英語): Mobile robots need Simultaneous Localization and Mapping (SLAM) for autonomous movement in human living environments. The occupancy grid map used in SLAM is a conventional method which makes a map by an occupancy probability in each grid. This method renews a map based on whether an object is observed or not. In order to remove moving objects from a map an additional method is required. However conventional methods deal only actually moving objects, and potential moving objects (ex. standing humans) are mapped as static objects. Furthermore, only binary states, used or not used, are given to each object in map updating.This paper proposes the immobility area grid map to represent a map by an immobility probability in each grid. The proposed method renews a map based on the identification of observed objects by robot's sensors, in addition to whether an object is observed or not. We introduce the map update parameter which is set adaptively from the certainty of identification result of the object. Observed objects can take continuous states, truly static - unknown - truly moving, according to the parameter value. Potential moving objects are not mapped if the parameter takes value corresponding to moving objects. The experimental results show the robust mapping in dynamic environments including potential moving objects.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.134 No.2 (2014) 特集:知覚情報技術の最前線
本誌掲載ページ: 192-204 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/134/2/134_192/_article/-char/ja/
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