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- W2384639139 abstract "During the mobile robot Simultaneous Localization And Mapping(SLAM),the location is unknown and the environment round is also unpredictable. Aiming at these uncertain factors,the Bayes rule is as a theory foundation,the probability model of the mobile robot SLAM is founded,the realization process of the SLAM by Extended Kalman Filter(EKF) is discussed. A data association method between the laser radar and the feature map is introduced. Experimental results show this method is effective and reliable to realize SLAM." @default.
- W2384639139 created "2016-06-24" @default.
- W2384639139 creator A5063481738 @default.
- W2384639139 date "2010-01-01" @default.
- W2384639139 modified "2023-09-24" @default.
- W2384639139 title "SLAM Algorithm Framework of Mobile Robot Based on Probability" @default.
- W2384639139 hasPublicationYear "2010" @default.
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