Scholar
Tong Zhao
Google Scholar ID: tTnWi_EAAAAJ
Tsinghua University
Citations & Impact
Citations
379
H-index
11
i10-index
11
Publications
19
Co-authors
7
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Preprints:
- - BEV-GS: Feed-forward Gaussian Splatting in Bird’s-Eye-View for Road Reconstruction (2025)
- - Depth-aware Volume Attention for Texture-less Stereo Matching (2024)
- - Selected Published Papers:
- - RoadBEV: Road Surface Reconstruction in Bird’s Eye View (IEEE Trans. Intell. Transp. Syst., 2024)
- - A comprehensive implementation of road surface classification for vehicle driving assistance: Dataset, models, and deployment (IEEE Trans. Intell. Transp. Syst., 2023)
- - A Hierarchical Scheme of Road Unevenness Perception with LiDAR for Autonomous Driving Comfort (IEEE Trans. Intell. Veh., 2024)
- - Road friction estimation based on vision for safe autonomous driving (Mech. Syst. Signal Proc., 2024)
- - A road surface reconstruction dataset for autonomous driving (Sci. Data, 2024)
- - A road surface image dataset with detailed annotations for driving assistance applications (Data in Brief, 2022)
- - Experimental study of road identification by LSTM with application to adaptive suspension damping control (Mech. Syst. Signal Proc., 2022)
- - Road unevenness identification based on LSTM network (Automot. Eng, 2021)
Research Experience
- - Visiting student at the MSC Lab, UC Berkeley
- - Supervisor: Prof. Masayoshi Tomizuka
Education
- - School of Vehicle and Mobility, Tsinghua University (Beijing, China)
- - Time: 08/2020 - present
- - Degree: Ph.D. candidate in Automotive Engineering
- - Supervisor: Prof. Yintao Wei
- - EE, Xiamen University (Xiamen, China)
- - Time: 09/2016 - 06/2020
- - Degree: B.Eng. in Electronic Information Science and Technology
- - GPA: 3.74/4.0, Ranking: 2/69
Background
- - Research Interests: Environment perception, especially road surface conditions for unmanned ground vehicles, aiming at safer and more comfortable autonomous driving.
- - Professional Field: 3D vision technologies and their applications in practical engineering tasks.
