collaborators

5 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands

Haitian Wang, Muhammad Ibrahim, Yumeng Miao +3

The Kondinin region in Western Australia faces significant agricultural challenges due to pervasive weed infestations, causing economic losses and ecological impacts. This study co…

cs.CV2025

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…