8 papers · 1 filter
GridFlow: Structured Latent Flow for Seamless City-Scale 3D Point Cloud Generation
Xinyu Wang, Muhammad Ibrahim, Atif Mansoor +1
Generating realistic 3D city environments from remote sensing data is important for simulation, urban planning, and mixed reality, yet existing point cloud generation methods are l…
LoDA: A Level of Detection Aware Method and a Multimodal Sensing Benchmark for Object Level Change Detection
Haitian Wang, Xinyu Wang, Sheldon Fung +2
High-definition 3D LiDAR maps are important for autonomous driving and smart-city services, which require reliable detection of object-level changes in multi-temporal urban LiDAR t…
Edge-Efficient Two-Stream Multimodal Architecture for Non-Intrusive Bathroom Fall Detection
Haitian Wang, Yiren Wang, Xinyu Wang +2
Falls in wet bathroom environments are a major safety risk for seniors living alone. Recent work has shown that mmWave-only, vibration-only, and existing multimodal schemes, such a…
LiDAR-based 3D Change Detection at City Scale
Hezam Albaqami, Haitian Wang, Xinyu Wang +5
High-definition 3D city maps enable city planning and change detection, which is essential for municipal compliance, map maintenance, and asset monitoring, including both built str…
CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation
Li Liang, Bo Miao, Xinyu Wang +3
Outdoor 3D semantic scene generation produces realistic and semantically rich environments for applications such as urban simulation and autonomous driving. However, advances in th…
Geo-Registration of Terrestrial LiDAR Point Clouds with Satellite Images without GNSS
Xinyu Wang, Muhammad Ibrahim, Haitian Wang +3
Accurate geo-registration of LiDAR point clouds remains a significant challenge in urban environments where Global Navigation Satellite System (GNSS) signals are denied or degraded…