ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 2A2-O01
会議情報
2A2-O01 複雑環境の高被覆率な画像化に向けたAUVのナビゲーション手法(第2報) : リアルタイム撮影度評価に基づく観測経路生成による実海域画像マッピング(水中ロボット・メカトロニクス)
佐藤 芳紀巻 俊宏久米 絢佳松田 匠未坂巻 隆浦 環
著者情報
会議録・要旨集 フリー

詳細
抄録
AUVs have advantages that can observe seafloor without tether cables nor human control. However, operators can not confirm the unobserved area in rough terrain when the survey is in-progress. If unobserved areas are found by post processing, another deployment of the AUV is necessary to cover them. Therefore, we have proposed a recursive observation method by an AUV to realize a high coverage observation at one deployment. This paper, that is a sequel of the previous one, reports the results of sea experiments held at Suruga Bay in Japan, in November 2012. An artificial target was set up on the seafloor. Then the AUV Tri-TON observed the target based on the proposed method. As the generated path was concentrated on the target, the performance of the proposed method at the real sea environment was verified. In addition, mapping accuracy was evaluated by comparing the observational results and ground truth.
著者関連情報
© 2013 一般社団法人 日本機械学会
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