Drone Swarm for Distributed Video Surveillance of Roads and Car Tracking

This study proposes a swarm-based Unmanned Aerial Vehicle (UAV) system designed for surveillance tasks, specifically for detecting and tracking ground vehicles. The proposal is to assess how a system consisting of multiple cooperating UAVs can enhance performance by utilizing fast detection algorith...

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Bibliographic Details
Published in:Drones (Basel) 2024-11, Vol.8 (11), p.695
Main Authors: Sánchez Pedroche, David, Amigo, Daniel, García, Jesús, Molina, José M., Zubasti, Pablo
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Collaboration
Computer vision
Drone aircraft
Monitoring systems
Performance evaluation
Real time operation
Roads & highways
Simulation
Software
Surveillance
Tracking
UAV surveillance
UAV swarm configuration
Unmanned aerial vehicles
vehicle detection and tracking
Vehicles
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Summary:This study proposes a swarm-based Unmanned Aerial Vehicle (UAV) system designed for surveillance tasks, specifically for detecting and tracking ground vehicles. The proposal is to assess how a system consisting of multiple cooperating UAVs can enhance performance by utilizing fast detection algorithms. Within the study, the differences in one-stage and two-stage detection models have been considered, revealing that while two-stage models offer improved accuracy, their increased computation time renders them impractical for real-time applications. Consequently, faster one-stage models, such as the tested YOLOv8 architectures, appear to be a more viable option for real-time operations. Notably, the swarm-based approach enables these faster algorithms to achieve an accuracy level comparable to that of slower models. Overall, the experimentation analysis demonstrates how larger YOLO architectures exhibit longer processing times in exchange for superior tracking success rates. However, the inclusion of additional UAVs introduced in the system outweighed the choice of the tracking algorithm if the mission is correctly configured, thus demonstrating that the swarm-based approach facilitates the use of faster algorithms while maintaining performance levels comparable to slower alternatives. However, the perspectives provided by the included UAVs hold additional significance, as they are essential for achieving enhanced results.
ISSN:2504-446X
2504-446X
DOI:10.3390/drones8110695