Early RGB-Depth-Edge fusion in EDFNet provides a competitive baseline for thin-obstacle segmentation on the DDOS dataset, with the best pretrained U-Net model reaching 0.244 Thin-Structure Evaluation Score.
Aerial autonomy under adversity: Advances in obstacle and aircraft detection techniques for unmanned aerial vehicles
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EDFNet: Early Fusion of Edge and Depth for Thin-Obstacle Segmentation in UAV Navigation
Early RGB-Depth-Edge fusion in EDFNet provides a competitive baseline for thin-obstacle segmentation on the DDOS dataset, with the best pretrained U-Net model reaching 0.244 Thin-Structure Evaluation Score.