2018
Learning to Detect Aircraft for Long-Range Vision-Based Sense-and-Avoid Systems
RA-L 2018
The commercial use of unmanned aerial vehicles (UAVs) would be enhanced by an ability to sense and avoid potential mid-air collision threats. In this letter, we propose a new approach to aircraft detection for long-range vision-based sense and avoid. We first train a deep convolutional neural networ