Panpan Tong

2 accepted papers

2025

4DRadDet: Cluster-Queried Enhanced 3D Object Detection with 4D Radar

Caien Weng, Xin Bi, Panpan Tong, Arno Eichberger

ICRA 2025

D object detection plays a critical role in advancing autonomous driving technology. To improve perception capabilities while maintaining low costs and ensuring performance in adverse weather conditions, 4D radar has emerged as a promising alternative for 3D object detection. However, current method

Cited by 4 Source ↗Scholar ↗

2025

MAFF-Net: Enhancing 3D Object Detection With 4D Radar via Multi-Assist Feature Fusion

Xin Bi, Caien Weng, Panpan Tong, Baojie Fan, Arno Eichberger

RA-L 2025

Perception systems are crucial for the safe operation of autonomous vehicles, particularly for 3D object detection. While LiDAR-based methods are limited by adverse weather conditions, 4D radars offer promising all-weather capabilities. However, 4D radars introduce challenges such as extreme sparsit

Cited by 9 Source ↗Scholar ↗