Reconnaissance in Complex Environment with No-Fly Zones Using a Swarm of Unmanned Aerial Vehicles-Reference-Cited by-同舟云学术

Reconnaissance in Complex Environment with No-Fly Zones Using a Swarm of Unmanned Aerial Vehicles

Published:2022 Issue: Volume: Page:308-321
ISSN:0302-9743
Container-title:Modelling and Simulation for Autonomous Systems
language:
Short-container-title:

Author:

Stodola Petr^ORCID,Nohel Jan^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-98260-7_19

Reference18 articles.

1. Stodola, P., Drozd, J., Šilinger, K., Hodický, J., Procházka, D.: Collective perception using UAVs: autonomous aerial reconnaissance in a complex urban environment. Sensors 20(10), 2926 (2020)

2. Shang, B., Wu, C., Hu, Y., Yang, J.: An algorithm of visual reconnaissance path planning for UAVs in complex spaces. J. Comput. Inf. Syst. 10(19), 1–8 (2014)

3. Savchenko, V., Shchypanskyi, P., Martyniuk, O.R.: Air defense planning from an impact of a group of unmanned aerial vehicles based on multi-agent modeling. Int. J. Emerg. Trends Eng. Res. 8(4), 1302–1308 (2020)

4. Wang, Y., Yue, Y., Shan, M., He, L., Wang, D.: Formation reconstruction and trajectory replanning for multi-UAV patrol. IEEE/ASME Trans. Mechatron. 26(2), 719–729 (2021)

5. Lv, L., et al.: A novel non-uniform optimal control approach for hypersonic cruise vehicle with waypoint and no-fly zone constraints. Int. J. Syst. Sci. 52(13), 2704–2724 (2021)

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