Path Planning Using Improved RRT for UAV in Narrow Passage Space with Timing Constraints

Author:

Zhao Wei,Chen WanChun,Wang YaNa,Zhang XianFeng

Publisher

Springer Singapore

Reference15 articles.

1. Gonzalez, D., Perez, J., Milanes, V., et al.: A Review of motion planning techniques for automated vehicles. IEEE Trans. Intell. Transp. Syst. 17(4), 1–11 (2015)

2. Lavalle, S.M.: Rapidly-exploring random trees: a new tool for path planning. Computer Science Department, Iowa State University(1999)

3. Zou, Q., Liu, S., Zhang, Y., et al.: Rapidly-exploring random tree algorithm for path re-planning based on reinforcement learning under the peculiar environment. Control Theory Appl. 37(8), 1737–1748 (2020)

4. Wang, Q.: Research on rapidly-exploring random trees based global path planning and its application. National University of Defense Technology (2014)

5. Qureshi, A.H., Ayaz, Y.: Potential functions based sampling heuristic for optimal path planning. Auton. Robot. 40(6), 1079–1093 (2015). https://doi.org/10.1007/s10514-015-9518-0

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