Biogeography-based combinatorial strategy for efficient autonomous underwater vehicle motion planning and task-time management

Author:

Zadeh S. M.,Powers D. M. W.,Sammut K.,Yazdani A. M.

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Ocean Engineering

Reference22 articles.

1. Carroll KP, McClaran SR, Nelson EL, Barnett DM, Friesen DK, Williams GN, 1992. AUV path planning: an A* approach to path planning with consideration of variable vehicle speeds and multiple, overlapping, time-dependent exclusion zones. IEEE Conference of Autonomous Underwater Vehicle Technology. DOI: 10.1109/AUV.1992.225191

2. Geisberger R, 2011. Advanced route planning in transportation networks. PhD thesis, Karlsruhe Institute of Technology, Karlsruhe, 1–227.

3. Jan GE, Chang KY, Parberry I, 2008. Optimal path planning for mobile robot navigation. IEEE/ASME Transactions on Mechatronics, 13(4), 451–460. DOI: 10.1109/TMECH.2008.2000822

4. Ji M, Yu X, Yong Y, Nan X, Yu W, 2012. Collision-avoiding aware routing based on real-time hybrid traffic information. Journal of Advanced Materials Research, 396-398, 2511–2514.

5. Karimanzira D, Jacobi M, Pfuetzenreuter T, Rauschenbach T, Eichhorn M, Taubert R, Ament C, 2014. First testing of an AUV mission planning and guidance system for water quality monitoring and fish behavior observation in net cage fish farming. Information Processing in Agriculture, 1(2), 131–140. DOI: 10.1016/j.inpa.2014.12.001

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