書誌事項
- タイトル別名
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- High-Speed Generation of Image Templates for Self-position Estimation by Genetic Algorithm with Indirect Fitness Inference
- カンセツテキ ヒョウカチ スイロン オ モチイタ イデンテキ アルゴリズム ニ ヨル ジコ イチ スイテイヨウ ガゾウ テンプレート ノ コウソク セイセイ
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抄録
We have proposed a self-position estimation method for an autonomous mobile robot with variable processing time. In this method, the processing time for self-position estimation can be varied by changing the image size, and image templates are generated with Genetic Algorithm in order to realize efficient and stable self-position estimation for the size change. However, it takes enormous time to generate image templates even if the number of the image templates is very small. Considering the application of the proposed method to more practical problems for self-position estimation, it is necessary to generate image templates in shorter time. In order to overcome this problem, we apply Genetic Algorithm with a fitness inference system for template generation instead of SGA(Simple Genetic Algorithm) in this paper. Some simulation results show that the time for image template generation is reduced drastically with the proposed method.
収録刊行物
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- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
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電気学会論文誌Ｃ（電子・情報・システム部門誌） 131 (1), 210-218, 2011
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204607120768
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- NII論文ID
- 10027637014
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 10934386
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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