CV

Education

• Ph.D. in Informatics, Nagoya University, 2023
• M.E. in Navigation, Guidance, and Control, Wuhan University, 2017
• B.S. in Geographic Information Systems, Wuhan University, 2014

Work experience

• 2024.03 - now: Tenure-Track Associate Professor
  • School of Resource and Environment Sciences
  • Wuhan University, Wuhan, China.
• 2025.03 - now： Director of Algorithms (part-time)
  • GOYUMETA Co., Ltd
  • Wuhan, China.
• 2024.09 - 2024.02： Director of Algorithms (full-time)
  • GOYUMETA Co., Ltd
  • Wuhan, China.
• 2023.08 - 2024.08: Researcher
  • Institutes of Innovation for Future Society
  • Center for Embedded Computing Systems
  • Nagoya University, Nagoya, Japan.
• 2019.04 - 2020.04: Teaching Assistant
  • C Programming Language
  • DAIDO University
  • Nagoya, Japan.
• 2015.07 - 2017.06: Internship
  • Wuhan KOTEI Informatics, Co., Ltd
  • Wuhan, China.
• 2016.07 - 2016.09: Internship
  • AutoNavi Software Co., Ltd
  • Beijing, China.

Projects:

I participate these projects:

• Dynamic Map 2.0 Consortium, DM2.0, 2018 ~ 2019.
• Dependable Dynamic Map 2.0 Consortium, DDM2.0, 2020 ~ 2022.
• Research Consortium of Information Communication Platforms for Advanced Mobility Services, AdMobi-DM2, 2023 ~ 2024.
• Cooperated Level 4 automated mobility service (CooL4), Project on Research, Development, Demonstration and Deployment of Automated Driving toward the Level 4 and its Enhanced Mobility Services (RoAD to the L4). 2022 ~ 2024.
• and some commerial R&D projects in AutoNavi and KOTEI. 2015 ~ 2017

Skills

• C++, Python, and whatever I need.
• Chinese, Japanese, English

Selected Publications

Enhancing Autonomous Vehicles’ Situational Awareness with Dynamic Maps: Cooperative Prediction on Edge, Cloud and Vehicle

Lu Tao, Yousuke Watanabe, Ryosuke Takeuchi, Shinichi Kusayama, Shunya Yamada, and Hiroaki Takada, "Enhancing Autonomous Vehicles Situational Awareness with Dynamic Maps: Cooperative Prediction on Edge, Cloud and Vehicle," in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2024.3462744

Global Navigation Satellite System/Inertial Measurement Unit/Camera/HD Map Integrated Localization for Autonomous Vehicles in Challenging Urban Tunnel Scenarios

Lu Tao, Pan Zhang, Kefu Gao, and Jingnan Liu. "Global Navigation Satellite System/Inertial Measurement Unit/Camera/HD Map Integrated Localization for Autonomous Vehicles in Challenging Urban Tunnel Scenarios." Remote Sensing 16, no. 12 (2024): 2230.

Geo-spatial and Temporal Relation Driven Vehicle Motion Prediction: A Geographic Perspective

Lu Tao, Yousuke Watanabe, and Hiroaki Takada. "Geo-spatial and temporal relation driven vehicle motion prediction: A geographic perspective." IEEE Transactions on Intelligent Vehicles (2024).

A Lightweight Long-Term Vehicular Motion Prediction Method Leveraging Spatial Database and Kinematic Trajectory Data

Lu Tao, Yousuke Watanabe, and Hiroaki Takada. "A Lightweight Long-Term Vehicular Motion Prediction Method Leveraging Spatial Database and Kinematic Trajectory Data." ISPRS International Journal of Geo-Information 11, no. 9 (2022): 463.

Collision Risk Assessment Service for Connected Vehicles: Leveraging Vehicular State and Motion Uncertainties

Lu Tao, Yousuke Watanabe, Yixiao Li, Shunya Yamada, and Hiroaki Takada. "Collision risk assessment service for connected vehicles: Leveraging vehicular state and motion uncertainties." IEEE Internet of Things Journal 8, no. 14 (2021): 11548-11560.

Comparative Evaluation of Kalman Filters and Motion Models in Vehicular State Estimation and Path Prediction

Lu Tao, Yousuke Watanabe, Shunya Yamada, and Hiroaki Takada. "Comparative evaluation of Kalman filters and motion models in vehicular state estimation and path prediction." The Journal of Navigation 74, no. 5 (2021): 1142-1160.

Automatically Building Linking Relations between Lane-Level Map and Commercial Navigation Map Using Topological Networks Matching

Lu Tao, Pan Zhang, Lixin Yan, and Dunyao Zhu. "Automatically Building Linking Relations between Lane-Level Map and Commercial Navigation Map Using Topological Networks Matching." The Journal of Navigation 73, no. 5 (2020): 1159-1178.

The Traffic Accident Hotspot Prediction: Based on the Logistic Regression Method

Lu Tao, Dunyao Zhu, Lixin Yan, and Pan Zhang. "The traffic accident hotspot prediction: Based on the logistic regression method." In 2015 International conference on transportation information and safety (ICTIS), pp. 107-110. IEEE, 2015.