11 papers
LOGOS: LiDAR-Only Gaussian Elevation Splatting for Unified Tiny Obstacle Segmentation
Nan Ming, Yeqiang Qian, Chunxiang Wang +1
Robust obstacle segmentation is essential for the safety of intelligent robots, where LiDAR-based perception systems play a fundamental role in the robot-environment interaction. W…
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…
AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection
Zizhao Chen, Yeqiang Qian, Xiaoxiao Yang +2
Multispectral pedestrian detection has been shown to be effective in improving performance within complex illumination scenarios. However, prevalent double-stream networks in multi…
RadarXFormer: Robust Object Detection via Cross-Dimension Fusion of 4D Radar Spectra and Images for Autonomous Driving
Yue Sun, Yeqiang Qian, Zhe Wang +3
Reliable perception is essential for autonomous driving systems to operate safely under diverse real-world traffic conditions. However, camera- and LiDAR-based perception systems s…
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…
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…