Home /Research /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
SWARM
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
- Year
- 2013
- Citations
- 11
Keywords
RobotExtended Kalman filterComputer scienceMobile robotOutlierKalman filterKinematicsComputer visionArtificial intelligenceProcess (computing)
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