Fenghua Zhu — accepted AI-conference papers

2025

HPLaw: Heterogeneous Parallel LiDARs for Adverse Weather in V2V

Yuhang Liu, Xinyue Ma, Xingxia Wang, Boyi Sun, Yutong Wang, Fenghua Zhu +1

IROS 2025

Parallel LiDAR emerges as an innovative framework for next-generation intelligent LiDAR systems in autonomous driving. In parallel LiDAR research, V2V (Vehicle-to-Vehicle) cooperative perception is a promising technology which can effectively enhance perception range and accuracy through inter-agent

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2021

SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation

Siqi Fan, Qiulei Dong, Fenghua Zhu, Yisheng Lv, Peijun Ye, Fei-Yue Wang

CVPR 2021poster

How to learn effective features from large-scale point clouds for semantic segmentation has attracted increasing attention in recent years. Addressing this problem, we propose a learnable module that learns Spatial Contextual Features from large-scale point clouds, called SCF in this paper. The prop…

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