Publisher
Springer Nature Singapore
Reference15 articles.
1. Bai, G., Li, Y., Fang, Y., Zhang, Y.-A., Tao, J.: Network approach for resilience evaluation of a UAV swarm by considering communication limits. Reliab. Eng. Syst. Saf. 193, 106602 (2020)
2. Molchanov, P., Harmanny, R.I., de Wit, J.J., Egiazarian, K., Astola, J.: Classification of small UAVs and birds by micro-doppler signatures. Int. J. Microw. Wirel. Technol. 6, 435–444 (2014)
3. Fraga-Lamas, P., Ramos, L., Mondéjar-Guerra, V., Fernández-Caramés, T.M.: A review on IoT deep learning UAV systems for autonomous obstacle detection and collision avoidance. Remote Sens. 11, 2144 (2019)
4. Koch, W., Mancuso, R., West, R., Bestavros, A.: Reinforcement learning for UAV attitude control. ACM Trans. Cyber-Phys. Syst. 3, 1–21 (2019)
5. Jun, L., Hang, Y., Bi, W., Yongbo, X.: Overview of image fusion technology for low-cost UAVs perception system. In: Advanced Fiber Laser Conference (AFL2022), pp 335–349. SPIE (2023)