An Improved Informed-RRT* Algorithm for Path Planning in Dynamic Environment

WANG Yangbin; ZHANG Wei; WANG Weike; HU Zhi

doi:10.3969/j.issn.1671-637x.2022.05.006

Journals >Electronics Optics & Control >Volume 29 >Issue 5 >Page 28 > Article

Electronics Optics & Control
Vol. 29, Issue 5, 28 (2022)

An Improved Informed-RRT* Algorithm for Path Planning in Dynamic Environment

WANG Yangbin, ZHANG Wei, WANG Weike, and HU Zhi

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[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2022.05.006 Cite this Article

WANG Yangbin, ZHANG Wei, WANG Weike, HU Zhi. An Improved Informed-RRT* Algorithm for Path Planning in Dynamic Environment[J]. Electronics Optics & Control, 2022, 29(5): 28 Copy Citation Text

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References

[6] LAVALLE S M.Rapidly-exploring random trees:a new tool for optimal motion planning［D］.Ames, IA:Iowa State University, 1998.

[8] KARAMAN S, FRAZZOLI E.Sampling-based algorithms for optimal motion planning［J］.International Journal of Robotics Research, 2011, 30(7):846-894.

[9] GAMMELL J D, SRINIVASA S S, BARFOT T D.Informed RRT*:optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic［C］//International Conference on Intelligent Robots and Systems. Chicago, IL：IEEE, 2014:2997-3004.

WANG Yangbin, ZHANG Wei, WANG Weike, HU Zhi. An Improved Informed-RRT* Algorithm for Path Planning in Dynamic Environment[J]. Electronics Optics & Control, 2022, 29(5): 28

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