Education background
Graduation from Tsinghua University (Electrical System and Automation), Beijing, China, 1977;
Master of Computer Software, Dalian University of Technology, Dalian, China, 1982;
Ph.D. in Computer Science & Technology, Tsinghua University, Beijing, China, 1993.
Social service
State Key Laboratory of Intelligent Technology and Systems, Tsinghua University: Deputy Director of Central Laboratory (2002-);
China Computer Federation: Executive Director (2008-);
National Olympiad in Informatics (NOI): Chairman of Science Committee (2006-);
Tsinghua University: Member of Laboratory Work Committee (2004-).
Areas of Research Interests/ Research Projects
Intelligent Vehicle and Mobile Robots, Intelligent Perception;
Computer Vision and Image Processing
National Natural Science Foundation of China: Key Technologies and Integration Platform of Artificial Cognition for Unmanned Autonomous Vehicles (2009-2012);
National Natural Science Foundation of China: Dynamic Modeling of Chest and Abdominal Cavity and Surgery Navigation of Intervention Treatment under Respiratory State (2009-2011).
Research Status
My main research interests lie in vision navigation of intelligent vehicle and mobile robots, in particular road and lane detection, obstacle detection, fast and robust circle and ellipse detection, and multi-sensor based intelligent perception. In recent years, I have also involved in the research of affective computing, medical image processing, etc. I have participated in the development of two intelligent mobile robots, THMR-III and THMR-V (Tsinghua Mobile Robot).
1. My research group has proposed a road-area detection algorithm based on color images. This algorithm overcomes both edge detection inaccuracy of the intensity image method and computational complexity of existing color image segmentation algorithms. The paper was published inIEEE Trans. on Intelligent Transportation Systems, and has been cited by others over 10 times (all by International Journals).
2. My research group has also proposed a fast and robust, stereovision-based obstacle detection method. A watershed transformation is employed for obstacle segmentation in dense traffic conditions (even with partial occlusions) of urban environments. The paper was published inAutonomous Robots. It was regarded as one of the main progress of intelligent vehicles by EU.
3. Besides, a real-time lane detection algorithm was proposed based on the hyperbola-pair model. It effectively serves complex conditions including roads with colored lane marks and special traffic marks, and night driving. Our lane detection system has also been adopted by other countries.
4. A more meaningful result of our research is real-time detection of circle and ellipse from complex background. My research group proposed a fast contour-based algorithm of circle and ellipse detection, which dramatically reduces the cost of both memory and computation. This algorithm and its detection system has received a Chinese patent, and has been applied in cruising and inspecting mobile robots for transformer stations.
Honors And Awards
Science and Technology Progress Award by National Grid, Third Class-Cruising and Inspecting Mobile Robot for Transformer Stations (2005);
Science and Technology Progress Award by Shandong Electric Power Corp. , First Class-Cruising and Inspecting Mobile Robot for Transformer Stations (2005);
WCICA: Best Youth Paper Prize-A Fast Contour-based Approach to Circle and Ellipse Detection (2004);
National Academic Conference of China Association of Artificial Intelligence: Best Paper Award-Intelligent Vehicle Navigation based on Machine Perception (2001);
China Association of Science and Technology: Outstanding Contribution Award of Olympiad in Informatics (2000);
China Computer Federation: Distinguished Contribution Award of Olympiad in Informatics (2008).
Academic Achievement
[1] Yinghua He*, Hong Wang, and Bo Zhang,Color Based Road Detection in Urban Traffic Scenes. IEEE Transactions on Intelligent Transportation Systems, Vol.5, No.4, pp.309-318, 2004.
[2] Qian Yu*, H. Araujo, Hong Wang, A Stereovision Method for Obstacle Detection and Tracking in non-flat Urban Environments. Autonomous Robots, Vol.19, 141-157, 2005.
[3] Hong Wang,Qiang Chen*,Real-time Lane Detection in Various Conditions and Night Cases. In Proc. of IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2006), Toronto, Canada, Sept.17-20, 2006, pp.1226-1231.
[4] Xueyin Lin, Hong Wang, Computer Vision:A Modern Approach (Translation in Chinese, original version by David A. Forsyth and Jean Ponce), Publishing House of Electronics Industry, Beijing, 2004.
[5] Hong Wang, Ming Yang, Mathematical Logic and Set Theory-- Essence and Solutions, (Tsinghua University Computer Series Textbook), Tsinghua University Press, Beijing, 2001.
[6] Ge Song* and Hong Wang, A Fast and Robust Ellipse Detection Algorithm based on Pseudo- Random Sample Consensus. In Proc. of the 12th International Conference on Computer Analysis of Images and Patterns (CAIP 2007) , Wien, Austria.2007, Lecture Notes in Computer Science, Vol.4673, pp.669-676.
[7] Ke Sun*,Hong Wang,A composite Method to Extract Eye Contour. In Proc. of the 1st International Conference on Affective Computing and Intelligent Interaction (ACII 2006), Beijing, China. 2006, Lecture Notes in Computer Science Vol. 3784, pp.112-118.
