Haiyi Liu — accepted AI-conference papers

2024

BEVoxSeg: BEV-Voxel Representation for Fast and Accurate Camera-Based 3D Segmentation

Haiyi Liu, Beibei Wang, Lu Zhang, Jianmin Ji, Yanyong Zhang

ICASSP 2024accepted

Recent research has demonstrated the advantages of Bird’s-eye-view (BEV) representation in the field of 3D perception. However, due to the lack of height information, BEV representation alone is insufficient to accurately reconstruct the complete surrounding 3D scene. On the other hand, voxel repres…

Cited by 0 Source ↗Scholar ↗

2024

OCC-VO: Dense Mapping via 3D Occupancy-Based Visual Odometry for Autonomous Driving

Heng Li, Yifan Duan, Xinran Zhang, Haiyi Liu, Jianmin Ji, Yanyong Zhang

ICRA 2024poster

Visual Odometry (VO) plays a pivotal role in autonomous systems, with a principal challenge being the lack of depth information in camera images. This paper introduces OCC-VO, a novel framework that capitalizes on recent advances in deep learning to transform 2D camera images into 3D semantic occupa…

Cited by 8 Source ↗code ↗Scholar ↗