書誌事項
- タイトル別名
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- Mobile Robot Localization Integrating LRF Map-matching and Odometry Based on Moving Horizon Estimation Considering Singular Environments
- トクイ カンキョウ オ コウリョ シタ LRF マップマッチング ト オドメトリ ノ MHE ユウゴウ ニ モトズク イドウ ロボット ノ ジコ イチ スイテイ
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抄録
In this paper, we propose a localization method integrating laser range finder (LRF) measurement and odometry by moving horizon estimation (MHE). The position and the attitude angle of a robot are estimated by solving an optimization problem using multiple sampling data while shifting the evaluation interval at each sampling. The relative importance of the estimations of LRF and odometry are balanced by adapting to the number of LRF measurements. With the proposed method, accurate localization can be realized even in singular environments where the self-pose cannot be localized using only LRF measurements. The accuracy of the proposed method is verified through comparisons with conventional methods on numerical simulations. In addition, we verify the robustness and feasibility of the proposed method for singular environments through numerical simulations and experiments.
収録刊行物
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- 計測自動制御学会論文集
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計測自動制御学会論文集 53 (6), 355-365, 2017
公益社団法人 計測自動制御学会
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詳細情報 詳細情報について
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- CRID
- 1390001204508202496
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- NII論文ID
- 130006833463
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- NII書誌ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL書誌ID
- 028321464
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可