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SCIENCE CHINA Information Sciences, Volume 62, Issue 8: 084202(2019) https://doi.org/10.1007/s11432-018-9723-5

Development and path planning of a novel unmanned surface vehicle system and its application to exploitation of Qarhan Salt Lake

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  • ReceivedOct 31, 2018
  • AcceptedDec 21, 2018
  • PublishedJul 8, 2019

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by Key Research and Development and Transformation Project of Qinghai Province (Grant No. 2017-GX-103), and National Natural Science Foundation of China (Grant Nos. 61663040, 61725305, 61633017, 61603388).


Supplement

Videos and other supplemental documents.


References

[1] Ge X X, Fan Q S, Wei H C, et al. The characteristics of the mineral assemblage and the forming clue in Qarhan Salt Lake. J Salt Lake Res, 2017, 25: 47--54. Google Scholar

[2] Cao M M, Zhang Z H, Zhao D M. Simulated evaporation calculation of brine in Qarhan Salt Lake. J Salt Lake Res, 2017, 25: 33--40. Google Scholar

[3] Suh J, Gong J, Oh S. Fast Sampling-Based Cost-Aware Path Planning With Nonmyopic Extensions Using Cross Entropy. IEEE Trans Robot, 2017, 33: 1313-1326 CrossRef Google Scholar

[4] Li G, Chou W. Path planning for mobile robot using self-adaptive learning particle swarm optimization. Sci China Inf Sci, 2018, 61: 052204 CrossRef Google Scholar

[5] Liu J, Wu Z, Yu J. Sliding mode fuzzy control-based path-following control for a dolphin robot. Sci China Inf Sci, 2018, 61: 024201 CrossRef Google Scholar

  • Figure 1

    (a) The USV with online ion concentration detection equipment; (b) the USV with the automatic carnallite sampling equipment; (c) simulation results for two planners.

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