6 papers · 1 filter
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…
BAWSeg: A UAV Multispectral Benchmark for Barley Weed Segmentation
Haitian Wang, Xinyu Wang, Muhammad Ibrahim +2
Accurate weed mapping in cereal fields requires pixel-level segmentation from UAV imagery that remains reliable across fields, seasons, and illumination. Existing multispectral pip…
Multistream Network for LiDAR and Camera-based 3D Object Detection in Outdoor Scenes
Muhammad Ibrahim, Naveed Akhtar, Haitian Wang +2
Fusion of LiDAR and RGB data has the potential to enhance outdoor 3D object detection accuracy. To address real-world challenges in outdoor 3D object detection, fusion of LiDAR and…
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…
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…