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Reference
[1] D. Harabor and A. Grastien. 2011. "Online Graph Pruning for Pathfinding on Grid Maps". In Proceedings of the 25th National Conference on Artificial Intelligence (AAAI), San Francisco, USA.
[2] R. Deits and R. Tedrake, "Computing large convex regions of obstacle-free space through semidefinite programming",in Algorithmic Foundations of Robotics XI. Berlin, Germany: Springer, 2015, pp. 109–124.
[3] S. Liu, M. Watterson, K. Mohta, K. Sun, S. Bhattacharya, C.J. Taylor, et al., "Planning dynamically feasible trajectories for quadrotors using safe flight corridors in 3-d complex environments", IEEE Robotics and Automation Let- ters, vol. 2, no. 3, pp. 1688-1695, July 2017.
[4] S. Savin, "An algorithm for generating convex obstacle-free regions based on stereographic projection,” in International Siberian Confer- ence on Control and Communications", 2017.
[5]Xingguang Zhong, Yuwei Wu, Dong Wang, Qianhao Wang, Chao Xu, and Fei Gao, "Generating Large Convex Polytopes Directly on Point Clouds",2020
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[10]Daniel Mellinger, Alex Kushleyev and Vijay Kumar,"mixed-integer quadratic program trajectory generation for heterogeneous quadrotor teams", IEEE, 2012
- BFS
- Greedy
- Dijkstra
- Astar
-
Jump Point Search
- JPS+
- Probabilistic Road Maps
- [Rapidly-exploring Random Trees
- [Artificial Potential Fields
- Average time allocation
- Trapezoidal time allocation
- Ax = b
- closed form
- quadratic program
- [mixed-integer quadratic program
- [Bezier curve
- PID