1 citations · 1 across the 4 of their papers we have counts for
4 papers
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check
Sheng-Yao Kuan, Jen-Hao Cheng, Hsiang-Wei Huang +6
In the domain of autonomous driving, the integration of multi-modal perception techniques based on data from diverse sensors has demonstrated substantial progress. Effectively surp…
RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark
Yuan-Hao Ho, Jen-Hao Cheng, Sheng Yao Kuan +5
Traditional methods for human localization and pose estimation (HPE), which mainly rely on RGB images as an input modality, confront substantial limitations in real-world applicati…
Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving
Yizhou Wang, Jen-Hao Cheng, Jui-Te Huang +8
Sensor fusion is crucial for an accurate and robust perception system on autonomous vehicles. Most existing datasets and perception solutions focus on fusing cameras and LiDAR. How…
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar
Jen-Hao Cheng, Sheng-Yao Kuan, Hugo Latapie +2
Robust perception is a vital component for ensuring safe autonomous and assisted driving. Automotive radar (77 to 81 GHz), which offers weather-resilient sensing, provides a comple…