4 papers
calibfusion: Transformer-Based Differentiable Calibration for Radar-Camera Fusion Detection in Water-Surface Environments
Yuting Wan, Liguo Sun, Jiuwu Hao +1
Millimeter-wave (mmWave) Radar--Camera fusion improves perception under adverse illumination and weather, but its performance is sensitive to Radar--Camera extrinsic calibration: r…
physfusion: A Transformer-based Dual-Stream Radar and Vision Fusion Framework for Open Water Surface Object Detection
Yuting Wan, Liguo Sun, Jiuwu Hao +2
Detecting water-surface targets for Unmanned Surface Vehicles (USVs) is challenging due to wave clutter, specular reflections, and weak appearance cues in long-range observations.…
Is Intermediate Fusion All You Need for UAV-based Collaborative Perception?
Jiuwu Hao, Liguo Sun, Yuting Wan +4
Collaborative perception enhances environmental awareness through inter-agent communication and is regarded as a promising solution to intelligent transportation systems. However,…
FeaKM: Robust Collaborative Perception under Noisy Pose Conditions
Jiuwu Hao, Liguo Sun, Ti Xiang +3
Collaborative perception is essential for networks of agents with limited sensing capabilities, enabling them to work together by exchanging information to achieve a robust and com…