Introduction      Plenary Talks
  • Plenary Talk 1:

            Keynote Speaker:

Sadayuki Tsugawa, Dr. Eng.

Professor, Department of Information Engineering, Meijo University

Shiogamaguchi 1-501, Tempaku-ku, Nagoya-shi, 468-8502 Japan

Phone: +81-52-838-2492; Fax: +81-52-832-1298

E-mail: tsugawa@ccmfs.meijo-u.ac.jp

Intelligent Vehicles for Intelligent Transport Systems: Current Status and Future Expectation
The Intelligent Transport Systems (ITS), the objectives of which are safety, efficiency, environment protection, and comfort of automobile traffic and road transportation, include various systems and the main systems are traffic signal control systems, route guidance systems, driver assistance systems, and automated driving systems,. The Intelligent Vehicles, which the talk is focusing on, are closely related to the driver assistance systems and the automated driving systems. Some driver assistance systems like adaptive cruise control and lane keep assistance have already in the market, but the dissemination rates are not high at present and it will take some time to be accepted by every driver like ABS and air bags. Although there is a long history of research and development on automated driving systems, there are little systems for practical use. Currently, the projects on automated driving systems have just started in Europe and Japan: HAVE-it (Highly Automated Vehicles for Intelligent Transport) in Europe, and Energy ITS aiming at an automated platoon of heavy trucks in Japan. The introduction of automation to automobile traffic is an inevitable trend for the compatibility of the safety and efficiency, which can be already seen in air traffic and railway traffic. In the future automobiles will be not only more intelligent but also more diversified for the global warming prevention as well as safety, and there will appear automated platoons of heavy trucks along expressways and intelligent, single-seated, ultra-small vehicles along urban streets, which will be the synergy of automobiles and robots.
Dr. Tsugawa got his Bachelor, Master, and Doctor of Engineering degrees in 1968, 1970, and 1973 respectively, all from the University of Tokyo, in the field of control engineering. In 1973, he joined Mechanical Engineering Laboratory under Japanese Ministry of International Trade and Industry, where he worked in the area of ITS and intelligent vehicles for 30 years. In 2003, he moved to Meijo University. He got the best paper award on a vision-based intelligent vehicle from Japanese Society of Instrumentation and Control Engineers in 1992. The Minister of Science and Technology awarded him for his research on intelligent vehicles in 1999. He has been serving as a BOG (Board of Governors) member of IEEE ITS Society since 2008.
  • Plenary Talk 2:

            Keynote Speaker:

Zhengyou Zhang, Dr. Eng

Microsoft Research



Computer Vision and Auditory Perception

Endowing machine with human-like seeing and hearing capabilities has long been an endeavor for generations of scientists. Although seeing and hearing are granted to a human, human vision and auditory perception are still poorly understood. I will show a number of interesting examples illustrating both robustness and illusiveness of human vision and auditory systems. Despite limited understanding of human vision and auditory systems, we have seen tremendously progress in computer vision and auditory perception in the last two decades. I will show some of our recent research projects in vision (e.g., face modeling/detection/tracking/verification, visual echo cancellation in a projector-camera system, human event detection and recognition), in audio (e.g., sound source localization, multichannel acoustical echo cancellation, audio event detection and recognition, speaker verification), in multimodal analysis (e.g., audio-visual active speaker detection). I will finally demonstrate the application of some of those technologies in mediated human-human interaction and human-computer interaction.


Zhengyou Zhang received the B.S. degree in electronic engineering from the University of Zhejiang, Hangzhou, China, in 1985, the M.S. degree in computer science from the University of Nancy, Nancy, France, in 1987, and the Ph.D. degree in computer science and the Doctor of Science (Habilitation diriger des recherches) diploma from the University of Paris XI, Paris, France, in 1990 and 1994, respectively.

He is a Principal Researcher with Microsoft Research, Redmond, WA, USA, and manages the multimodal collaboration research team. Before joining Microsoft Research in March 1998, he was with INRIA (French National Institute for Research in Computer Science and Control), France, for 11 years and was a Senior Research Scientist from 1991. In 1996-1997, he spent a one-year sabbatical as an Invited Researcher with the Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan. He has published over 200 papers in refereed international journals and conferences, and has coauthored the following books: 3-D Dynamic Scene Analysis: A Stereo Based Approach (Springer-Verlag, 1992); Epipolar Geometry in Stereo, Motion and Object Recognition (Kluwer, 1996); and Computer Vision (Science Publisher, 1998, 2003, in Chinese). He has given a number of keynotes in international conferences.

Dr. Zhang is an IEEE Fellow, the Founding Editor-in-Chief of the IEEE Transactions on Autonomous Mental Development, an Associate Editor of the International Journal of Computer Vision, an Associate Editor of the International Journal of Pattern Recognition and Artificial Intelligence, and an Associate Editor of Machine Vision and Applications. He served as an Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence from 2000 to 2004, an Associate Editor of the IEEE Transactions on Multimedia from 2004 to 2009, among others. He has organized or participated in organizing numerous international conferences. More details are available at http://research.microsoft.com/~zhang/.
  • Plenary Talk 3:

            Keynote Speaker:

KOH Yong Khiang, Dr. Eng

Vice-President, Engineering

Singapore Technologies Kinetics Ltd

249, Jalan Boon Lay, Singapore 619523

Phone: +65 6660 8333

Fax: +65 6265 7003

E-mail: kohyk@stengg.com


Development of Autonomous Vehicles

The ultimate goal of an autonomous vehicle is a driverless car that can drive itself from one point to another without the assistance from a driver. It seems to be a scientist’s dream or a futuristic movie flick. However with the advances in technology, both in sensors’ technologies and artificial intelligence research, and the ever increasing computing power, this dream seems to be reality in times to come. In order for a car to drive without a driver, one would need a sensor suite and perception algorithms to understand its immediate environment in order to create the “world map” as if it is seen by the driver; to know where it is and where it wants to go via the navigation module; to find its way in the traffic, i.e. to be able to calculate path planning and lastly to give commands to the vehicle to perform the desired actuation, such as steering, braking, accelerating, moving forward or reversing via the interaction of the vehicle control module and the drive-by-wire system of the vehicle.

The DARPA Urban Challenge held on 3 November 2007 at a former US Air Force base near Victorville, CA. had raised the autonomous driving technology to a new height.  Over the 60 miles of simulated urban driving, the driverless vehicles, needed to negotiate in this urban setting, recognize if they were approaching cross-roads and deciding when to move off as there were human-driven cars which incorporating traffic density and traffic rules for the competition.

This presentation briefly explains how these scenarios can take place with the explanation of the basic building blocks for an autonomous vehicle.  It also discusses the likely outcomes of current technologies, especially those demonstrated during DUC 2007 for driver assistance systems development and the additional technologies or vehicle systems needed in order to make the vehicle entirely driverless in an urban setting. Researchers have begun to believe that the future for autonomous vehicles is very promising, as several key enablers, the basic technologies, are already in place. They envisage that with the utilization of autonomous vehicles, we could dramatically reduce accidents, and there is potential for congestion management and improved time and fuel efficiency.


Dr KOH Yong Khiang received the Bachelor of Engineering in Mechanical Engineering from the National University of Singapore in 1981; the MSc in Sound and Vibration Studies and the PhD degree specializing in Structural Vibration and Control from the Institute of Sound and Vibration Research, University of Southampton in September 1989 and February 1993 respectively. He joined Singapore Technologies Kinetics Ltd in March 1994 as a Principal Engineer responsible for structural analysis, noise & vibration studies of tracked vehicles, Human Factors Engineering, instrumentation and field measurement.  He is currently the Head of Unmanned Systems Centre overseeing the development of Unmanned Ground Vehicle projects. The Centre also provides test & evaluation, instrumentation & field measurement services to support in-house development projects.

  • Plenary Talk 4:

Keynote Speaker:

Huayong YANG, Dr. Eng

State Key Laboratory of Fluid Power Transmission and Control

Zhejiang University

Zheda Road No.38

Hangzhou, 310027



Automation and Key Technologies on Shield Tunneling Machine
Shield tunneling machine is a large and complex machine which is widely used in underground constructions, such as underground rail lines, water conservancy, urban pipelines, etc.  The shield machine is mostly a mechanism at the very beginning.  With developments of computer science and automation, modern technologies are applied on the shield machine.  Nowadays, shield machine is a functional machine with automatic navigation, proportional electro-hydraulic control, monitoring and field-bus technology.  The speech is going to talk about key technologies on the shield machine, two different energy conservation methods using in cutter head driving, and the automatic system on the test rig of shield machine.

Huayong Yang received the Ph.D degree in mechanical engineering from Bath University, U.K., in 1988.  He is a professor of Zhejiang University, Yangtze Fund Scholar of China, the scholar of the National Science Foundation for Distinguished Young Scholars of China, the chief scientist of the National Basic Research Program (973 Program) of China.  Currently, he is studying control technologies and energy conservation of mechatronics system, electro-hydraulic elements and electro-hydraulic system integration of major equipments.  He has published over 160 papers in Chinese journals, international journals and conferences.

Jointly supported by Nanyang Technological University and Huazhong University of Science and Technology.
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