Junqiao Zhao
Scholar

Junqiao Zhao

Google Scholar ID: KPHJVAwAAAAJ
Department of Computer science and technology, Tongji University
SLAMLocalizationReinforcement LearningAutonomous Driving
Citations & Impact
All-time
Citations
1,263
 
H-index
20
 
i10-index
40
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • - Preprint: Ranking-aware Continual Learning for LiDAR Place Recognition, Xufei Wang, Gengxuan Tian, Junqiao Zhao*, Siyue Tao, Qiwen Gu, Qiankun You, and Tiantian Feng. ArXiv, 2024.
Research Experience
  • - Leads the TIEV (Tongji Intelligent Electric Vehicle) Lab
  • - Developed two autonomous driving platforms: TIEV 途灵 and TIEV 途灵 Plus, both open-sourced
  • - PI of the NSFC project "Multi-scale semantic landmarks-based SLAM for autonomous driving" (No. 41871370), 2019-2022
  • - Co-PI of the sub-project of The National Key Research and Development Program of China "Construction and real-time control of Autonomous driving system twins" (No. 2020YFA0711402), 2020-2023
  • - Co-PI of the sub-project of The National Key Research and Development Program of China "Traffic object sensing and localization with high precision maps" (No. 2021YFB2501104), 2021-2024
  • - PI of the NSFC young scholar project "Automatic Simplification of 3D Building Models for Navigation Purpose" (No.41201379)
  • - PI of the Program for Young Excellent Talents in Tongji University "Automatic Reparation of 3D Building Models" (No.2014KJ027)
Education
  • - PhD: State Key Laboratory of Information Engineering on Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University
  • - BSc: Southeast University
  • - PostDoc: Section of GIS technology, Delft University of Technology
  • - Visiting student: Technical University of Munich, Leibniz University of Hannover
Background
  • Currently a Tenured associate professor at the School of Computer Science and Engineering and the Institute of Intelligent Vehicles of Tongji University. Research interests include Embodied AI and Autonomous Systems, particularly in Reinforcement Learning, Simultaneous Localization and Mapping (SLAM), Place recognition, and Localization.