June 2019
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41 Reads
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1 Citation
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Publications (2)
March 2018
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72 Reads
Simultaneous localization and mapping(SLAM) of mobile robot is the core problem of intelligent mobile robot autonomous navigation. Data association is a key part of simultaneous localization and mapping algorithm for mobile robot. Aiming at the problem of low efficiency and accuracy in data association calculation, a local circle closed loop data association strategy is proposed. Experimental results show that the improved algorithm is applied to the EKFSLAM algorithm, which reduces the error between the estimative path and the real path, and improves the accuracy of the robot state estimation.
Citations (1)
... Few papers have aimed to extract patterns to identify time series. As an example, Li et al. (2019) propose the generation of CEP rules on the basis of the order in which different shapelets appear and the use of the standardized Euclidean distance and a threshold to check whether a time series corresponds to that pattern. The authors also propose mechanisms to improve the performance of the patterns. ...
- Citing Conference Paper
June 2019