UAVin3D

With technology rapidly enhancing and becoming more affordable, commercial and consumer drones have become increasingly popular since the beginning of the 21st century. They pose serious threats to safety (e.g. disturbances for airports and airplanes) and privacy (recording without consent, etc) as well. It is evident that in order to mitigate these issues and increase security it is critical to develop solutions that incorporate the detection and tracking of UAVs with autonomous systems.

The goal of the work in this research project is to investigate methods to recognize small-sized Unmanned Aerial Vehicles (UAVs), e.g. quadcopters, in 3D LiDAR (Light Detection and Ranging) point clouds.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the United States Air Force.