UAV Path Planning Under Multiple Threats Based on Improved Sparrow Search
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1083-6_4
Reference15 articles.
1. Lv, Z., Yang, L., He, Y., Liu, Z., Han, Z.: 3D environment modeling with height dimension reduction and path planning for UAV. In: 2017 9th International Conference on Modelling, Identification and Control (ICMIC), pp. 734–739. IEEE, Kunming (2017)
2. Han, B., et al.: Grid-optimized UAV indoor path planning algorithms in a complex environment. Int. J. Appl. Earth Obs. Geoinf. 111(2022), 102857 (2022)
3. Naazare, M., Ramos, D., Wildt, J., Schulz, D.: Application of graph-based path planning for UAVs to avoid restricted areas. In: 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), pp. 139–144. IEEE, Würzburg (2019)
4. Li, B., Gong, L., Zhao, C.: Unmanned combat aerial vehicles path planning using a novel probability density model based on artificial bee colony algorithm. In: 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP), pp. 620–625. IEEE, Beijing (2013)
5. Fan, J., Chen, X., Liang, X.: UAV trajectory planning based on bi-directional APF-RRT* algorithm with goal-biased. Expert Syst. Appl. 213(2023), 119137 (2023)
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