26 citations · 37 across the 21 of their papers we have counts for
7 papers · 1 filter
WHU-STree: A Multi-modal Benchmark Dataset for Street Tree Inventory
Ruifei Ding, Zhe Chen, Wen Fan +5
Street trees are vital to urban livability, providing ecological and social benefits. Establishing a detailed, accurate, and dynamically updated street tree inventory has become es…
Aerial-ground Cross-modal Localization: Dataset, Ground-truth, and Benchmark
Yandi Yang, Jianping Li, Youqi Liao +5
Accurate visual localization in dense urban environments poses a fundamental task in photogrammetry, geospatial information science, and robotics. While imagery is a low-cost and w…
LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning
Xianghong Zou, Jianping Li, Zhe Chen +4
Point cloud place recognition (PCPR) determines the geo-location within a prebuilt map and plays a crucial role in geoscience and robotics applications such as autonomous driving,…
SpatialLLM: From Multi-modality Data to Urban Spatial Intelligence
Jiabin Chen, Haiping Wang, Jinpeng Li +3
We propose SpatialLLM, a novel approach advancing spatial intelligence tasks in complex urban scenes. Unlike previous methods requiring geographic analysis tools or domain expertis…
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
Yuan Gao, Shaobo Xia, Sheng Nie +3
Airborne laser scanning (ALS) point cloud semantic segmentation is a fundamental task for large-scale 3D scene understanding. Fixed models deployed in real-world scenarios often su…
ARMOR: Adaptive Meshing with Reinforcement Optimization for Real-time 3D Monitoring in Unexposed Scenes
Yizhe Zhang, Jianping Li, Xin Zhao +3
Unexposed environments, such as lava tubes, mines, and tunnels, are among the most complex yet strategically significant domains for scientific exploration and infrastructure devel…
ME-CPT: Multi-Task Enhanced Cross-Temporal Point Transformer for Urban 3D Change Detection
Luqi Zhang, Haiping Wang, Chong Liu +2
The point clouds collected by the Airborne Laser Scanning (ALS) system provide accurate 3D information of urban land covers. By utilizing multi-temporal ALS point clouds, semantic…