Path Inference Based on Voronoi Graph

Author:

Xu Xin

Publisher

Springer Nature Switzerland

Reference8 articles.

1. Zhang, T., Chai, L.: Path planning for UAVs and multiple targets. Command Inf. Syst. Technol. 11(06), 32–36 (2020)

2. Gevargiz, P.: Control and Path Planning of Multi-Agent Systems: Artificial Potential Field Algorithm. California State University, Northridge (2019)

3. Fan, X., Guo, Y., Liu, H., Wei, B., Lyu, W.: Improved artificial potential field method applied for AUV path planning. Math. Probl. Eng. 2020, 1–21 (2020)

4. Sao, P., Kannan, R., Gera, P., Vuduc, R.: A supernodal all-pairs shortest path algorithm. In: Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 250–261 (2020)

5. Kannan, V., Appasamy, S., Kandasamy, G.: Comparative study of fuzzy Floyd Warshall algorithm and the fuzzy rectangular algorithm to find the shortest path. In: AIP Conference Proceedings, vol. 2516, no. 1, p. 200029. AIP Publishing LLC (2022)

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