Efficient collision-free path planning for autonomous underwater vehicles in dynamic environments with a hybrid optimization algorithm-Reference-Cited by-同舟云学术

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Efficient collision-free path planning for autonomous underwater vehicles in dynamic environments with a hybrid optimization algorithm

Published:2016-11 Issue: Volume:127 Page:190-199
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Zhuang Yufei,Sharma Sanjay,Subudhi Bidyadhar,Huang Haibin,Wan Jian

Funder

Fundamental Research Funds for the Central Universities

Natural Scientific Research Innovation Foundation in Harbin Institute of Technology

Science and Technology Foundation for the Universities in Shandong Province

Royal Academy of Engineering Newton Research Collaboration Programme

China Scholarship Council

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference28 articles.

1. 3D path planning for underwater vehicles using five evolutionary optimization algorithms avoiding static and energetic obstacles;Aghababa;Appl. Ocean Res.,2012

2. Byrd, R.H., Nocedal, J., Waltz, R.A., 2006. KNITRO: An integrated package for nonlinear optimization, in Large-scale nonlinear optimization. Springer, US

3. Carsten, J., Ferguson, D., Stentz, A., 2006. 3D field D*: Improved path planning and replanning in three dimensions. In: Proceedings of the IEEE International Conference on Intelligent Robots and Systems. Beijing China. pp. 3381–3386.

4. Carroll, K.P., McClaran, S.R., Nelson, E.L., Barnett, D.M., Friesen D.K., William G.1992 AUV path planning: an A* approach to path planning with consideration of variable vehicle speeds and multiple, overlapping, time-dependent exclusion zones. In: Proceedings of the 1992 Symposium on Autonomous Underwater Vehicle Technology, 1992.

5. Daily, R., Bevly, D.M., 2008. Harmonic potential field path planning for high speed vehicles. In: Proceedings of the American Control Conference. Washington, USA. pp. 4609–4614.

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