EDFNet: Early Fusion of Edge and Depth for Thin-Obstacle Segmentation in UAV Navigation
arXiv:2604.09694v1 Announce Type: new
Abstract: Autonomous Unmanned Aerial Vehicles (UAVs) must reliably detect thin obstacles such as wires, poles, and branches to navigate safely in real-world environments. These structures remain difficult to perce…