October 2013 – July 2017: Ph.D. in Information and Communication Technology, Université de Technologie de Compiègne, France

September 2011 – October 2013: Master of Science in Mechatronics, Université de Technologie de Compiègne, France

September 2007 – July 2011: Bachelor of Engineering in Mechanical Engineering and Automation, Shanghai Jiao Tong University

• Information Fusion Algorithms: This research focuses on Bayesian observer theory and vehicle dynamics models, aiming to estimate vehicle states by fusing information from sensors and prior models.

• High-Definition Map-Enhanced Autonomous Driving Technology: The work involves constructing high-definition map models and investigating map-based high-precision pose estimation, localization, as well as decision-making and planning technologies.

1 Kun JIANG, Diange YANG, etc. Real-time Estimation and Prediction of Tire Forces Using ADAS Map for Driving Risk Assessment. Transportation Research Part C. Accepted (SCI)

2 Kun JIANG, Diange YANG, etc. A Flexible Multi-Layer Map Model Designed for Lane-level Route Planning in Autonomous Vehicles. Engineering. accepted for publication. (SCI)

3 Shichao XIE, Kun JIANG, etc. Pixels and 3D Points Alignment Method for the Fusion of Camera and LiDAR Data. IEEE Transactions on Instrumentation and Measurement, PP(99):1-16 · December 2018. (SCI)

4 Diange YANG, Kun JIANG, etc. Intelligent and connected vehicles: current status and future perspectives, SCIENCE CHINA, 2018.9.19,61(10):1446-1471. (SCI)

5 Yuanxin Zhong, S.Wang, S.Xie, Zhong Cao, Kun JIANG, Diange Yang. 3D Scene Reconstruction with Sparse LiDAR Data and Monocular Image in Single Frame. SAE Int. J. Passeng. Cars – Electron. Electr. Syst. 11(1):48-56, 2018. (EI)