Haihui Huang — accepted AI-conference papers

2023

FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow

Wenchao Ding, Jieru Zhao, Yubin Chu, Haihui Huang, Tong Qin, Chunjing Xu +2

ICRA 2023poster

There is extensive literature on perceiving road structures by fusing various sensor inputs such as lidar point clouds and camera images using deep neural nets. Leveraging the latest advance of neural architects (such as transformers) and bird-eye-view (BEV) representation, the road cognition accura…

Cited by 4 Source ↗Scholar ↗

2023

Traffic Flow-Based Crowdsourced Mapping in Complex Urban Scenario

Tong Qin, Haihui Huang, Ziqiang Wang, Tongqing Chen, Wenchao Ding

RA-L 2023

An accurate road topological structure is of great importance for autonomous driving in complex urban environments. Currently, most autonomous vehicles highly rely on the High-Definition map (HD map) to cruise across the city. Without the prior map, it's hard for vehicles to find right-turning and l

Cited by 13 Source ↗Scholar ↗