Path planning in stronger ocean current for underwater glider

Path planning of underwater glider in stronger ocean current field is researched. Firstly, we established the ocean current model and the motion model of the glider in current environment. According to current forecast, the wavefront algorithm and A* algorithm were used to get the optimal path respectively. When the time spent on the distance between the start and the destination beyond the current forecast period, we designed segmented path planning algorithm. The results shows that A* algorithm not only has high search efficiency but also adapts to the whole and segmented path planning.

[1]  Gabriel Oliver,et al.  Path Planning of Autonomous Underwater Vehicles in Current Fields with Complex Spatial Variability: an A* Approach , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[2]  E. L. Nelson,et al.  AUV path planning: an A* approach to path planning with consideration of variable vehicle speeds and multiple, overlapping, time-dependent exclusion zones , 1992, Proceedings of the 1992 Symposium on Autonomous Underwater Vehicle Technology.

[3]  C. Vasudevan,et al.  Case-based path planning for autonomous underwater vehicles , 1994, Proceedings of 1994 9th IEEE International Symposium on Intelligent Control.

[4]  David R. Thompson,et al.  Mission Planning in a Dynamic Ocean Sensorweb , 2009 .

[5]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[6]  C. W. Warren,et al.  A technique for autonomous underwater vehicle route planning , 1990, Symposium on Autonomous Underwater Vehicle Technology.

[7]  Rustam Stolkin,et al.  Optimal AUV path planning for extended missions in complex, fast-flowing estuarine environments , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[8]  Peter Norvig,et al.  Artificial intelligence - a modern approach, 2nd Edition , 2003, Prentice Hall series in artificial intelligence.

[9]  S. Shadden,et al.  A dynamical systems approach to unsteady systems , 2006 .

[10]  Leo Dorst,et al.  Optimal Path Planning By Cost Wave Propagation In Metric Configuration Space , 1989, Other Conferences.