Qimin Xu

Release time:2019-09-06viewed:159

resume

Gender: Male 

Hometown: Nanjing 

Degree: Doctor of Engineering 

2007.09-2018.09  Study in School of Instrument Science and Engineering, Southeast University. 

2016.09-2017.09  Study in PATH Studies Center of the University of California, Berkeley (supported by CSC Program) 

2018.12-present  Lecturer of School of Instrument Science and Engineering, Southeast University


Presently, as a PI of a Youth Science Foundation of the National Natural Science Foundation of China and a sub-project of the National Key Research and Development Project. 


As a principal researcher of six national projects, including the National Natural Science Foundation of China, the National Key Research and Development Project, and the National Science and Technology Support Plan. Won a Second Prize in the science and technology achievement awarded by Ministry of Emergency Management of PRC

professional ranks and titles

lecturer

Teaching Work

Microcomputer System and Interface (Bilingual)

Research direction

1. Integrated navigation and control of intelligent vehicle 

2. Multi-sensor robust fusion for intelligent vehicle-infrastructure system

SCI Journal Papers

Representative Publications: 

(1) A Reliable Hybrid Positioning Methodology for Land Vehicles Using Low-Cost Sensors. IEEE Transactions on Intelligent Transportation Systems, 2016. 

(2) Enhancing Localization Accuracy of MEMS-INS/GPS/In-Vehicle Sensors Integration during GPS Outages. IEEE Transactions on Instrumentation and Measurement, 2018. 

(3) A Cost-Effective Vehicle Localization Solution Using an Interacting Multiple Model− Unscented Kalman Filters (IMM-UKF) Algorithm and Grey Neural Network. Sensors, 2017. 

(4) Developing a Cost-Effective Test System for Evaluating Dynamic Performance of Articulated Vehicles. Proc. IMechE, Part D: Journal of Automobile Engineering, 2018. 

(5) An Efficient Positioning Solution in Urban Canyons Using Enhanced Extended Kalman Particle Filter. Sensor Review, 2018.

International Conference Papers

(1) A Methodology of Vehicle Speed Estimation Based on Optical Flow[C]//Service Operations and Logistics, and Informatics (SOLI), 2014 IEEE International Conference on. IEEE, 2014.

Contact information

Office Telephone:
mailbox:101012500@seu.edu.cn
Postal address:Room 321, ZhongXin Building