activity
20172026
most citedRestricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras

151 citations · 231 across the 15 of their papers we have counts for

collaborators

15 papers

cs.RO2026

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…

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…

cs.CV2025

Weather-Magician: Reconstruction and Rendering Framework for 4D Weather Synthesis In Real Time

Chen Sang, Yeqiang Qian, Jiale Zhang +2

For tasks such as urban digital twins, VR/AR/game scene design, or creating synthetic films, the traditional industrial approach often involves manually modeling scenes and using v…

cs.CV2025

Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection

Yue Sun, Yeqiang Qian, Chunxiang Wang +1

Safety and reliability are crucial for the public acceptance of autonomous driving. To ensure accurate and reliable environmental perception, intelligent vehicles must exhibit accu…

cs.CV2024★ 2 cited

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…

cs.CV2024

SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles

Weihao Yan, Yeqiang Qian, Xingyuan Chen +3

Semantic segmentation plays a critical role in enabling intelligent vehicles to comprehend their surrounding environments. However, deep learning-based methods usually perform poor…