Integrating Depth-Anything-V2 Depth Estimation and Sobel Operator Matrix for UAV Landing-site detection

Rescue UAVs can support important tasks such as rapid response and manoeuvrability, search and rescue, monitoring and assessment, and delivery of relief materials and communication. However, in natural disasters and accidents scenarios, there are difficulties in the autonomous selection of UAV landing sites. This study proposes a landing point detection method that considers UAV attitude and fuses visual depth estimation with matrix computation. Considering image local visual features and global features, the highlight is to propose a multi-layer feature fusion framework, including visual depth estimation module based on Depth-Anything-V2, planar matrix estimation based on Sobel operator, and optimal landing point detection considering UAV attitude. At present, the initial validation has been completed at UseGeo, and the landing point selection is as expected.