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Drones 06 00185 by cavendish995 is a document available to read on EtoBox.
This article presents a Detect and Avoid system for the autonomous navigation of UAVs in Urban Air Mobility (UAM) corridors, utilizing a solid-state LiDAR sensor for real-time detection of unauthorized flying objects. The system computes avoidance trajectories using a Second Order Cone Program (SOCP), achieving execution times around 50 milliseconds, suitable for modern onboard computers. The methodology and results demonstrate the effectiveness of the proposed system in ensuring safe UAV operations in comp
- Author
- cavendish995
- Language
- EN