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APR - Global Scan Matching Using Anchor Point Relationships

Joachim E. Weber, Klaus-Werner Jörg, Ewald von Puttkamer

发表年份
2000
引用次数
39

摘要

Global self-localization, i.e. the ability to generate position estimates without initial hypotheses, decisively improves robustness of mobile robot localization since it allows recovery from arbitrary position errors. APR is a pattern matching algorithm designed for the realtime search of best matching laser scans in a set

关键词

Robustness (evolution)Matching (statistics)Artificial intelligenceComputer scienceComputer visionProbabilistic logicMobile robotMetric (unit)Position (finance)Algorithm

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