首页 /研究 /A robust extended <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0002.gif" overflow="scroll"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mo>∞</mml:mo></mml:mrow></mml:msub></mml:math> filtering approach to multi-robot cooperative localization in dynamic indoor environments
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A robust extended <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0002.gif" overflow="scroll"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mo>∞</mml:mo></mml:mrow></mml:msub></mml:math> filtering approach to multi-robot cooperative localization in dynamic indoor environments

Yan Zhuang, Zidong Wang, Haiyang Yu, Wei Wang, Stanislao Lauria

发表年份
2013
引用次数
11

关键词

RobotExtended Kalman filterComputer scienceMobile robotOutlierKalman filterKinematicsComputer visionArtificial intelligenceProcess (computing)

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