APPLICATION OF UAV SWARM SEMI-AUTONOMOUS SYSTEM FOR THE LINEAR PHOTOGRAMMETRIC SURVEY

8 citations as recorded by crossref.

1. Multiple aerial/ground vehicles coordinated spraying using reinforcement learning A. Moltajaei Farid et al. https://doi.org/10.1016/j.engappai.2025.110686
2. Assessment of Accuracy in Unmanned Aerial Vehicle (UAV) Pose Estimation with the REAL-Time Kinematic (RTK) Method on the Example of DJI Matrice 300 RTK S. Czyża et al. https://doi.org/10.3390/s23042092
3. Research on Impact of Planned Path Length and Yaw Cost on Collaborative Search of Unmanned Aerial Vehicle Swarms H. Zhang et al. https://doi.org/10.3390/app15105382
4. Game-Theoretic Coordination for Time-Critical Missions of UAV Systems M. Aramyan et al. https://doi.org/10.1109/TCNS.2026.3705999
5. Effective Strategies for Mitigating the “Bowl” Effect and Optimising Accuracy: A Case Study of UAV Photogrammetry in Corridor Projects S. Ait-Lamallam et al. https://doi.org/10.3390/drones9060387
6. A Distributed Double-Loop Optimization Method with Fast Response for UAV Swarm Scheduling R. Chen et al. https://doi.org/10.3390/drones7030216
7. A Review on Applications of Drones in Geotechnical Engineering M. Vishweshwaran & E. Sujatha https://doi.org/10.1007/s40098-024-01071-9
8. A paradigm shift in processing large UAV image datasets for emergency management of natural hazards M. La Salandra et al. https://doi.org/10.1016/j.jag.2024.103996