3 papers
cs.RO2026
Generating Roadside LiDAR Datasets from Vehicle-Side Datasets via Novel View Synthesis
Yuhan Xia, Runxin Zhao, Hanyang Zhuang +2
Intelligent Transportation Systems (ITS) require reliable environmental perception to support safe and efficient transportation. With the rapid development of Vehicle-to-everything…
cs.CV2025
Which LiDAR scanning pattern is better for roadside perception: Repetitive or Non-repetitive?
Zhiqi Qi, Runxin Zhao, Hanyang Zhuang +2
LiDAR-based roadside perception is a cornerstone of advanced Intelligent Transportation Systems (ITS). While considerable research has addressed optimal LiDAR placement for infrast…
cs.RO2025
Bench-RNR: Dataset for Benchmarking Repetitive and Non-repetitive Scanning LiDAR for Infrastructure-based Vehicle Localization
Runxin Zhao, Chunxiang Wang, Hanyang Zhuang +1
Vehicle localization using roadside LiDARs can provide centimeter-level accuracy for cloud-controlled vehicles while simultaneously serving multiple vehicles, enhanc-ing safety and…