Raw multi-line LiDAR data in geospatial surveying are characterized by complex preprocessing, substantial redundancy, and limited efficiency in hierarchical object extraction. This paper presents a mapping-oriented framework for adaptive voxelization and hierarchical object extraction directly from raw LiDAR network pa...
Meng Li, Xiao-Han Gao, Quan-Ying Li et al.· International Conference on...· 0 citations
This paper presents a novel framework for ground-wire state visualization and real-time diagnosis that integrates multisource sensing, intelligent modeling, and optimization-driven decision-making. By fusing heterogeneous data sources such as tension, vibration, temperature, and electrical measurements, the framework e...
Dan-Xu Cai, Tian-Heng Guo, Fei Meng et al.· International Conference on...· 0 citations
This work designs representation and supervision together in CPD-FCOS (Center-constrained P2 Detail-enhanced FCOS): a single-forward, reproducible reference design with an explicitly measured accuracy–efficiency trade-off.
GeoFuse-AL is proposed, a label-efficient segmentation framework that integrates a geometry-guided point–voxel network with multi-cue active learning and improves segmentation accuracy while substantially reducing annotation requirements.
