This paper proposes DSTI-Net, a multitask framework integrating SAM-based semantic guidance and dynamic spatial-temporal interaction for joint 2-D and 3-D change detection from …
This paper proposes PVCFormer, a cross-attention architecture combining point and voxel representations with CosFormer for efficient large-scale outdoor point cloud semantic …
This paper presents Chat3D, a method for applying large language models to urban ecological construction by combining the results of 3D point cloud semantic segmentation. The …
This paper proposes SPTNet, a novel deep learning architecture combining sparse convolution and transformer blocks for automated separation of woody and foliage components from …
This study presents a 3D detection workflow using SLAM100 handheld LiDAR for lava tube exploration, including point cloud processing, 3D modeling, and skylight detection, providing …
This paper proposes a dual-scanner backpack LiDAR system with automatic self-calibration and a tightly-coupled SLAM framework integrating IMU and forest natural features, achieving …
This paper proposes a novel 3D transformer architecture for point cloud classification that captures local context information by highlighting feature importance differences …