A* algorithm based on adaptive expansion convolution for unmanned aerial vehicle path planning
Author:
Funder
Jilin Scientific and Technological Development Program
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11370-024-00536-3.pdf
Reference21 articles.
1. Aldahhan M, Schmidt K W. Path Planning Based on Voronoi Diagram and PRM for Omnidirectional Mobile Robots//DTSS2019.2019.
2. Zhao P, Chang Y, Wu W et al (2023) Dynamic RRT: fast feasible path planning in randomly distributed obstacle environments. J Intell Robot Syst 107:48. https://doi.org/10.1007/s10846-023-01823-4
3. Ferguson D, Anthony S et al (2006) Using interpolation to improve path planning: The Field D* algorithm. J Field Robotics. https://doi.org/10.1002/rob.20109
4. Wang X, Liu J, Peng H et al (2022) A simultaneous planning and control method integrating APF and MPC to solve autonomous navigation for USVs in unknown environments. J Intell Robot Syst 105:36. https://doi.org/10.1007/s10846-022-01663-8
5. Brütting J, Senatore G, Fivet C (2022) Correction: MILP-based discrete sizing and topology optimization of truss structures: new formulation and benchmarking. Struct Multidisc Optim 65:341. https://doi.org/10.1007/s00158-022-03452-1
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