1 citations · 1 across the 5 of their papers we have counts for
5 papers
Needle in a Haystack: Tracking UAVs from Massive Noise in Real-World 5G-A Base Station Data
Chengzhen Meng, Chenming He, Yidong Jiang +5
The potential usage of UAVs in daily life has made monitoring them essential. However, existing systems for monitoring UAVs typically rely on cameras, LiDARs, or radars, whose limi…
Ghost Points Matter: Far-Range Vehicle Detection with a Single mmWave Radar in Tunnel
Chenming He, Rui Xia, Chengzhen Meng +5
Vehicle detection in tunnels is crucial for traffic monitoring and accident response, yet remains underexplored. In this paper, we develop mmTunnel, a millimeter-wave radar system…
CRPlace: Camera-Radar Fusion with BEV Representation for Place Recognition
Shaowei Fu, Yifan Duan, Yao Li +4
The integration of complementary characteristics from camera and radar data has emerged as an effective approach in 3D object detection. However, such fusion-based methods remain u…
mmPlace: Robust Place Recognition with Intermediate Frequency Signal of Low-cost Single-chip Millimeter Wave Radar
Chengzhen Meng, Yifan Duan, Chenming He +3
Place recognition is crucial for tasks like loop-closure detection and re-localization. Single-chip millimeter wave radar (single-chip radar in short) emerges as a low-cost sensor…
CalibFormer: A Transformer-based Automatic LiDAR-Camera Calibration Network
Yuxuan Xiao, Yao Li, Chengzhen Meng +3
The fusion of LiDARs and cameras has been increasingly adopted in autonomous driving for perception tasks. The performance of such fusion-based algorithms largely depends on the ac…