Qiyuan Shen — accepted AI-conference papers

2024

Cross-Modal Visual Relocalization in Prior LiDAR Maps Utilizing Intensity Textures

Qiyuan Shen, Hengwang Zhao, Weihao Yan, Chunxiang Wang, Tong Qin, Ming Yang

IROS 2024poster

Cross-modal localization has drawn increasing attention in recent years, while the visual relocalization in prior LiDAR maps is less studied. Related methods usually suffer from inconsistency between the 2D texture and 3D geometry, neglecting the intensity features in the LiDAR point cloud. In this…

Cited by 0 Source ↗Scholar ↗

2024

MOSFormer: A Transformer-based Multi-Modal Fusion Network for Moving Object Segmentation

Zike Cheng, Hengwang Zhao, Qiyuan Shen, Weihao Yan, Chunxiang Wang, Ming Yang

IROS 2024poster

3D moving object segmentation (MOS) is vital for autonomous systems, providing essential information for downstream tasks like mapping and localization. However, current MOS methods face challenges due to the limitation of existing datasets, which are sparse in moving objects and limited in scene di…

Cited by 0 Source ↗Scholar ↗