11 papers
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…
Statistical Verification of Medium-Access Parameterization for Power-Grid Edge Ad Hoc Sensor Networks
Haitian Wang, Xinyu Wang, Zichen Geng +3
The widespread deployment of power grid ad hoc sensor networks based on IEEE 802.15.4 raises reliability challenges when nodes selfishly adapt CSMA/CA parameters to maximize indivi…
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…
Quantization-Aware Neuromorphic Architecture for Skin Lesion Classification on Resource-Constrained Devices
Haitian Wang, Xia Cheng, Xinyu Wang +2
On-device skin lesion analysis is constrained by the compute and energy cost of conventional CNN inference and by the need for lightweight calibration under clinical data shift. Ne…
LiDAR, GNSS and IMU Sensor Fine Alignment through Dynamic Time Warping to Construct 3D City Maps
Haitian Wang, Hezam Albaqami, Xinyu Wang +5
LiDAR-based 3D mapping suffers from cumulative drift causing global misalignment, particularly in GNSS-constrained environments. To address this, we propose a unified framework tha…
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…
P2MFDS: A Privacy-Preserving Multimodal Fall Detection System for Elderly People in Bathroom Environments
Haitian Wang, Yiren Wang, Xinyu Wang +4
By 2050, people aged 65 and over are projected to make up 16% of the global population. As aging is closely associated with increased fall risk, particularly in wet and confined en…
Automated Road Extraction and Centreline Fitting in LiDAR Point Clouds
Xinyu Wang, Muhammad Ibrahim, Atif Mansoor +2
Road information extraction from 3D point clouds is useful for urban planning and traffic management. Existing methods often rely on local features and the refraction angle of lase…