Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

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

  • 51 Accesses

This is a preview of subscription content, log in to check access.

References

  1. 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

  2. 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

  3. 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

  4. 4

    Li G S, Chou W S. Path planning for mobile robot using self-adaptive learning particle swarm optimization. Sci China Inf Sci, 2018, 61: 052204

  5. 5

    Liu J C, Wu Z X, Yu J Z, et al. Sliding mode fuzzy control-based path-following control for a dolphin robot. Sci China Inf Sci, 2018, 61: 024201

Download references

Acknowledgements

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).

Author information

Correspondence to Junzhi Yu.

Supporting Information

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Xue, Z., Liu, J., Wu, Z. et al. Development and path planning of a novel unmanned surface vehicle system and its application to exploitation of Qarhan Salt Lake. Sci. China Inf. Sci. 62, 84202 (2019). https://doi.org/10.1007/s11432-018-9723-5

Download citation