Relative Navigation of Unmanned Aerial Vehicles Based on Data Link Ranging and Partial Guidance Information
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3332-3_19
Reference20 articles.
1. Sarras, L., Marzat, J., Bertrand, S., et al.: Collaborative multiple micro air vehicles’ localization and target tracking in GPS-denied environment from range–velocity measurements. Int. J. Micro Air Veh. 10(2), 225–239 (2018)
2. Chung, S., Paranjape, A.A., Dames, D., et al.: A survey on aerial swarm robotics. IEEE Trans. Robot. 34(4), 837–855 (2018)
3. Coppola, M., McGuire, K.N., De Wagter, C., et al.: A survey on swarming with micro air vehicles: fundamental challenges and constraints. Front. Robot. AI 7 (2020)
4. Altan, A., Hacıoglu, R.: Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances. Mech. Syst. Signal Process. 138, 106548 (2020)
5. Altan, A.: Performance of metaheuristic optimization algorithms based on swarm intelligence in attitude and altitude control of unmanned aerial vehicle for path following. In: 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pp. 1–6 (2020)
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