A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles
When used by autonomous vehicles for trajectory planning or obstacle avoidance, depth estimation methods need to be reliable. Therefore, estimating the quality of the depth outputs is critical. In this paper, we show how M4Depth, a state-of-the-art depth estimation method designed for unmanned aerial vehicle (UAV) applications, can be enhanced …