Xuanpeng Li

Release time:2019-09-06viewed:163

resume

Li Xuanpeng, Ph.D., Lecturer. After the Ph.D. study at the UTC and Paris-Sud in France, I worked at IFSTTAR and VEDECOM in France for post-doctor from May 2014 and Oct. 2015. Then, I came back to Southeast University at the end of 2015. My research interest focuses on causal perception and scene understanding, driving behavior analysis, and risk analysis on the traffic scene.

professional ranks and titles

lecturer

Tutor Information

none

Teaching Work

1. Intelligent Vehicle Technology, Undergraduate, Spring Course 

2. Measurement Technology and System Design, Undergraduate, Spring Course

SCI Journal Papers

3. Li X, Wang D, Ao H, et al. Fast 3D Semantic Mapping in Road Scenes. Applied Sciences, 2019, 9(4): 631. 

2. Li X, Seignez E. Driver inattention monitoring system based on multimodal fusion with visual cues to improve driving safety. Transactions of the Institute of Measurement and Control, 2018, 40 (3), 885-895. 

1. Li X, Seignez E, Lambert A, Loonis P. Real-time driver drowsiness estimation by multi-source information fusion with Dempster-Shafer theory. Transactions of the Institute of Measurement and Control, 2014, 36 (7), 906-915.

International Conference Papers

8. Zhu L, Li X*, Lu W, Zhang YJ. A Field-Based Representation of Surrounding Vehicle Motion from a Monocular Camera. IEEE Intelligent Vehicles Symposium (IV), 2018, pp: 1761-1766. 

7. Li X*, Ao H, Belaroussi R, et al. Fast Semi-Dense 3D Semantic Mapping with Monocular Visual SLAM. IEEE 20th International Conference on Intelligent Transportation Systems Conference (ITSC), 2017, pp: 385-390. 

6. Li X*, Seignez E, Gruyer D, Loonis P. Evidential Model and Hierarchical Information Fusion Framework for Vehicle Safety Evaluation. IEEE 17th International Conference on Intelligent Transportation Systems Conference (ITSC), 2014, pp: 1888-1889. 

5. Li X*, Seignez E, Lu W. Loonis P. Vehicle Safety Evaluation based on Driver Drowsiness and Distracted and Impaired Driving Performance Using Evidence Theory. IEEE Intelligent Vehicles Symposium (IV), 2014, pp: 82-88. 

4. Li X*, Seignez E, Loonis P. Vision-based estimation of driver drowsiness with ORD model using evidence theory. IEEE Intelligent Vehicles Symposium (IV), 2013, pp: 666-671. 

3. Li X*, Seignez E, Loonis P. Driver drowsiness estimation by fusion of lane and eye features using a multilevel evidence theory. Cyber Technology in Automation, Control and Intelligent Systems (CYBER), 2013, pp: 411-416. 

2. Li X*, Seignez E, Loonis P. Reliability-based driver drowsiness detection using Dempster-Shafer theory. IEEE 12th International Conference on Control Automation Robotics & Vision (ICARCV), 2012, pp: 1059-1064. 

1. Li X*, Seignez E, Loonis P, et al. Vision-based estimation of driving inattention fused via Dempster-Shafer theory. Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012, pp: 393-398.

Recruitment Plan

1~2 Master Candidates and 1 Doctor Candidate for each year

Contact information

Office Telephone:
mailbox:li_xuanpeng@seu.edu.cn
Postal address:Zhong Xin Lou, Room 330, Si Pai Lou #2, Nanjing, Jiangsu