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UAV Indoor Navigation and Landing SLAM by xilin50720 is a document available to read on EtoBox.
This paper presents a novel framework for the autonomous navigation and landing of UAVs in unknown indoor environments, utilizing a combination of visual SLAM, semantic segmentation, terrain estimation, and a decision-making model. The proposed method addresses limitations of existing approaches by integrating semantic features into the mapping process, allowing for high-level scene understanding and optimal landing site selection based on terrain safety and engineering constraints. Extensive experiments de
- Author
- xilin50720
- Language
- EN