Enfan Lan

2 accepted papers

2025

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning

Yifan Yang, Peili Song, Enfan Lan, Dong Liu, Jingtai Liu

IROS 2025

Category-level object pose estimation, which predicts the pose of objects within a known category without prior knowledge of individual instances, is essential in applications like warehouse automation and manufacturing. Existing methods relying on RGB images or point cloud data often struggle with

Cited by 5 Source ↗code ↗Scholar ↗

2025

Simulating Automotive Radar with Lidar and Camera Inputs

Peili Song, Dezhen Song, Yifan Yang, Enfan Lan, Jingtai Liu

IROS 2025

Low-cost millimeter automotive radar has received more and more attention due to its ability to handle adverse weather and lighting conditions in autonomous driving. However, the lack of quality datasets hinders research and development. We report a new method that is able to simulate 4D millimeter

Cited by 2 Source ↗Scholar ↗