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Traffic and Trasportation Engineering Faculty >> Traffic and Transportation Engineering
Cai Yingfeng
Date:2020/12/15 | View:

Name

Cai Yingfeng

mentor

Gender

Female

Professional Title

Engineering Ph.D, Professor, Doctoral supervisor,   Outstanding Young People of Jiangsu Province ,President of automotive   engineering research institute of Jiangsu University, Director of the Traffic   Perception and Intelligent Vehicle Research Institute, Office director of   Jiangsu Provincial Key Laboratory of Vehicle Application of New Technology,   Co-chairman of IEEE RAS Youth Committee,China Automotive Engineering Society   Award Committee Expert, Automotive Engineering Institute of Jiangsu Province,   Deputy director of the automotive electronics branch of the vehicle at the   Chinese academy of Automation Control and Intelligent Branch Committee.

Departments

Jiangsu University

Auto Engineering   research Institute

301 XueFu Road   ZhenJiang,Jiangsu,China

TEL

+86-15952869366

E-mail

caicaixiao0304@126.com

Short Biography

Education Background

Ph.D.(2009.3-2013.4), School of Instrument Science and Engineering, Southeast   university, Bachelor of Engineering in Measurement and Control Technology and   Instrument

M.S. (   2006.9-2009.1) , School of Instrument Science and Engineering, Southeast   university, Bachelor of Engineering in Measurement and Control Technology and   Instrument

B.E.(2002.9-2006.6),   School of Instrument Science and Engineering, Southeast university, Bachelor   of Engineering in Measurement and Control Technology and Instrument

Working Experience

2013.5-2016.5 Lecturer in Automobile   Engineering Research Institute of Jiangsu University

2016.9-2018.4 Associate Professor,   Institute of Automotive Engineering, Jiangsu University

2018.4-present Professor of Automotive   Engineering Research Institute of Jiangsu University  (excepti-on)

2014.12 Supervisor of Postgraduate   Students of Jiangsu University (exception)

2017.12 Doctoral Supervisor of Jiangsu   University(exception)

2014.4-2016.6   Postdoctoral,Postdoctoral Research Station of Transportation Engineering,   Jiangsu Univ-ersity

2015.5-present Director of Traffic   Perception and Intelligent Vehicle Technology Research Institute, In-stitute   of Automotive Engineering, Jiangsu University

2015.5-present Director of the office   of the key laboratory of "new technology application project of   carrier" in Jiangsu Province

2016.5-present, Served as vice   President, Executive Vice President and President of Automobile   Engineering Research Institute of Jiangsu University

Teaching Courses

Undergraduate   Courses: Intelligent Vehicle, Automobile Testing Technology,    Intelligent Transportation System, Automobile Feedback Control

Postgraduate   Courses: Traffic Image Detection and Analysis, Automobile and Traffic   Special Topic, Frontier Lecture of Transportation Engineering

Overseas   Postgraduate Courses:Traffic and Transport Engineering,Vehicle System   Dynamics,Vehicle Automatic Transmission Theory

Research   Fields

1.Key Technologies   of Information Perception and Control of Intelligent Vehicles

2.Key Technologies   for Self-driving Cars

Including

(1) Complex Environment   Perception Technology of Multi-source and Heterogeneous Sensor Informati-on Fusion

(2) Visual Significance   Area Recognition Technology Based on Deep Learning

(3) Automatic Driving   Vehicle Peripheral Target Behavior Identification and Prediction Technology

(4) Multi-Objective   Dynamic Decoupling Control Technology for Electric Intelligent Vehicle

(5) Driving Right Switch   and Man-machine Co-driving Technology of Self-driving Cars

Selected Publications

1. Wang, H., Dai,   L., Cai, Y., Sun, X., & Chen, L. (2018). Salient object detection based   on multi-scale contrast. Neural Networks, 101, 47-56. (SCI)

2. Cai, Y., Sun,   X., Wang, H., Chen, L., & Jiang, H. (2016). Night-time vehicle detection   algorithm based on visual saliency and deep learning. Journal of Sensors,   2016. (SCI)

3. Cai, Y., Liu,   Z., Wang, H., Chen, X., & Chen, L. (2018). Vehicle detection by fusing   part model learning and semantic scene information for complex urban   surveillance. Sensors, 18(10), 3505. (SCI)

4. Cai, Y., Liu,   Z., Wang, H., & Sun, X. (2017). Saliency-based pedestrian detection in   far infrared images. IEEE Access, 5, 5013-5019. (SCI)

5. Chen, T., Xu,   X., Chen, L., Jiang, H., Cai, Y., & Li, Y. (2018). Estimation of   longitudinal force, lateral vehicle speed and yaw rate for four-wheel   independent driven electric vehicles. Mechanical Systems and Signal   Processing, 101, 377-388. (SCI)

6. Sun, X., Yuan,   C., Cai, Y., Wang, S., & Chen, L. (2017). Model predictive control of an   air  suspension system with damping multi-mode switching damper based on   hybrid model. Mechanical Systems and Signal Processing, 94, 94-110. (SCI)

7. Cai, Y., Wang,   H., Chen, X., & Jiang, H. (2015). Trajectory-based anomalous behaviour   detection for intelligent traffic surveillance. IET intelligent transport   systems, 9(8), 810-816. (SCI)

8. Sun, X., Cai,   Y., Chen, L., Liu, Y., & Wang, S. (2016). Vehicle height and posture   control of the electronic air suspension system using the hybrid system   approach. Vehicle System Dynamics, 54(3), 328-352. (SCI)

9. Chen, X., Cai,   Y., Ye, Q., Chen, L., & Li, Z. (2018). Graph regularized local   self-representation for missing value imputation with applications to on-road   traffic sensor data. Neurocomputing, 303, 47-59. (SCI)

10. Chen, X., Cai,   Y., Chen, L., & Li, Z. (2015). Discriminant feature extraction for image   recognition using complete robust maximum margin criterion. Machine Vision   and Applications, 26(7-8), 857-870. (SCI)

Honor

1. The   first prize of science and technology of China highway society in 2016:   "research and application of key technologies of driving assistance and   information security protection based on human-vehicle-road   collaboration" (the first accomplisher), which was recommended as the   national award of 2018

2. Second prize of science and technology progress award of the Ministry of   Education in 2016: "research and application of key technologies of   active safety assisted driving system for Internet of vehicles" (2nd   accomplisher)

3. The   second prize of science and technology progress of the Ministry of Education   in 2017: "key technologies and applications of vibration and noise   reduction of high vehicle comfort" (2nd accomplisher)

4. Third prize of science and technology of Jiangsu Province in 2017: "key   technologies and applications of vehicle rear-end warning system and crash   transient comfort improvement integrated with driving behavior" (3rd   accomplisher)

5. 2017 China automotive industry science and technology award (outstanding   young scientific and technological talents award)

6. Candidates for the 2016 China Association for Science and Technology youth   talent support project

7. Supported by the excellent youth fund of Jiangsu Province in 2018

8. Leader of innovation team of "six talent peaks" in Jiangsu Province   in 2018

9. Training objects of "six talent peaks" in Jiangsu Province in 2015

10.Person of the year of scientific Chinese 2017

11.Candidate for young academic leaders training of Jiangsu University in 2015

12.2016 China intelligent car contest -- leader award of intelligent assisted   driving group

13.2017 China intelligent car competition -- leading award of driverless group   (the third place in the total score of driverless vehicles in China)

14.2018   second prize of global (nanjing) artificial intelligence application   competition (3/1582)

 
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