Yongkun Wen — accepted AI-conference papers

2024

RoadPainter: Points Are Ideal Navigators for Topology transformER

Zhongxing Ma, Liang Shuang, Yongkun Wen, Weixin Lu, Guowei Wan*

ECCV 2024poster

"Topology reasoning aims to provide a precise understanding of road scenes, enabling autonomous systems to identify safe and efficient routes. In this paper, we present RoadPainter, an innovative approach for detecting and reasoning the topology of lane centerlines using multi-view images. The core…

Cited by 8 Source ↗PDF ↗Scholar ↗

2023

A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation

Lin Li, Wendong Ding, Yongkun Wen, Yufei Liang, Yong Liu, Guowei Wan

ICRA 2023poster

Pairwise point cloud registration is a critical task for many applications, which heavily depends on finding correct correspondences from the two point clouds. However, the low overlap between input point clouds causes the registration to fail easily, leading to mistaken overlapping and mismatched c…

Cited by 5 Source ↗code ↗Scholar ↗