UAV Autonomous Navigation Based on Multi-modal Perception: A Deep Hierarchical Reinforcement Learning Method-Reference-Cited by-同舟云学术

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UAV Autonomous Navigation Based on Multi-modal Perception: A Deep Hierarchical Reinforcement Learning Method

Published:2023 Issue: Volume: Page:47-56
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Kou Kai,Yang Gang,Zhang Wenqi,Wang Chenyi,Yao Yuan,Zhou Xingshe

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-0301-6_4

Reference13 articles.

1. Ye, Z., Wang, K., Chen, Y., Jiang, X., Song, G.: Multi-UAV navigation for partially observable communication coverage by graph reinforcement learning. IEEE Trans. Mob. Comput. 1 (2022). https://doi.org/10.1109/TMC.2022.3146881

2. Maciel-Pearson, B.G., Holder, C.: Breckon: multi-task regression-based learning for autonomous unmanned aerial vehicle flight control within unstructured outdoor environments. IEEE Robot. Autom. Lett. 4(4), 4116–4123 (2019)

3. Fatemidokht, H., Rafsanjani, M.K., Gupta, B.B., Hsu, C.H.: Efficient and secure routing protocol based on artificial intelligence algorithms with UAV-assisted for vehicular ad hoc networks in intelligent transportation systems. IEEE Trans. Intell. Transp. Syst. 22(7), 4757–4769 (2021)

4. Guo, H., Huang, Z., Ho, Q., Ang, M., Rus, D.: Autonomous navigation in dynamic environments with multi-modal perception uncertainties. In: IEEE International Conference on Robotics and Automation, pp. 9255–9261 (2021). https://doi.org/10.1109/ICRA48506.2021.9561965

5. Shah, S., Dey, D., Kapoor, A.: AirSim: high-fidelity visual and physical simulation for autonomous vehicles. In: Field and Service Robotics, pp. 621–635 (2018)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring UAV autonomous navigation algorithm based on soft actor-critic;Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University;2024-04

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