Scholar
Shanliang Yao
Google Scholar ID: SHLZ-cYAAAAJ
Yancheng Institute of Technology
Autonomous Driving
Intelligent Vehicles
Radar-Camera Fusion
Maritime Perception
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
525
H-index
10
i10-index
13
Publications
20
Co-authors
7
list available
Contact
Email
Shanliang.Yao@ycit.edu.cn
GitHub
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Publications
10 items
WaterVideoQA: ASV-Centric Perception and Rule-Compliant Reasoning via Multi-Modal Agents
2026
Cited
0
4D-CAAL: 4D Radar-Camera Calibration and Auto-Labeling for Autonomous Driving
2026
Cited
0
Wavelet-based Multi-View Fusion of 4D Radar Tensor and Camera for Robust 3D Object Detection
2025
Cited
0
The Evaluation for Usability Methods of Unmanned Surface Vehicles: Are Current Usability Methods Viable for Unmanned Surface Vehicles? Insights from a Multiple Case Study Approach to Human-Robot Interaction
2025
Cited
0
USVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways
2025
Cited
0
Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding
2025
Cited
0
3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results
2025
Cited
0
ULSR-GS: Ultra Large-scale Surface Reconstruction Gaussian Splatting with Multi-View Geometric Consistency
arXiv.org · 2024
Cited
0
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Resume (English only)
Academic Achievements
WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces
USVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways
Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review
Research Experience
2025.06: A USV-based object tracking dataset in inland waterways is accepted by IROS.
2025.03: A survey for Radar Data Representations is accepted by TITS.
2024.06: A 4D Radar-Camera Fusion Dataset is accepted by TITS.
2024.09: Radar-Camera Fusion is a Highly Cited Paper by WOS.
2023.08: A survey for Radar-Camera Fusion is accepted by TIV.
Background
Research interests include Multimodal Sensor Fusion, Unmanned Surface Vehicles and Intelligent Transportation Systems.
Co-authors
7 total
Xiaohui Zhu
Xi'an Jiaotong-Liverpool University
Runwei Guan
Hong Kong University of Science and Technology (Guangzhou) / Founder of FertiTech AI
Yong Yue
Xi'an Jiaotong-liverpool University
Eng gee LIM
Professor of Electronics egineering, Xian jiaotong Liverpool university.
Ka Lok Man
Professor, Xi'an Jiaotong-Liverpool University
Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al)
Nantong University(Stanford’s World's Top 2% Researcher,Full Professor, Ph.D, IEEE Senior Member)
Wen LIU (刘文)
Professor, Wuhan University of Technology | 武汉理工大学
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