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cs.CV2025
Radar-Camera Fused Multi-Object Tracking: Online Calibration and Common Feature
Lei Cheng, Siyang Cao
This paper presents a Multi-Object Tracking (MOT) framework that fuses radar and camera data to enhance tracking efficiency while minimizing manual interventions. Contrary to many…
cs.CV2025
CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR-Camera Calibration with Iterative and Attention-Driven Post-Refinement
Lei Cheng, Lihao Guo, Tianya Zhang +5
Accurate multi-sensor calibration is essential for deploying robust perception systems in applications such as autonomous driving and intelligent transportation. Existing LiDAR-cam…
cs.CV2025
TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection
Lei Cheng, Siyang Cao
Despite significant advancements in environment perception capabilities for autonomous driving and intelligent robotics, cameras and LiDARs remain notoriously unreliable in low-lig…