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NEDO: International Research Coordination of Driving Behavior Signal Processing based on Large Scale Real World Database




Project NumberE.A.CF-05-00303 (SU)

Project LeaderHakan Erdogan, Huseyin Abut
Project SupervisorHakan Erdogan, Huseyin Abut
Project Team
  • Kazuya Takeda (Coordinator, Nagoya University, Nagoya, Japan)
  • Huseyin Abut (Sabanci University, Istanbul, Turkey)
  • Hakan Erdogan (Sabanci University, Istanbul, Turkey)
  • Aytul Ercil (Sabanci University, Istanbul, Turkey)
  • John Hansen (University of Texas at Dallas, Richardson, USA)
  • Engin Erzin (Koc University, Istanbul, Turkey)
  • Juan Carlos de Martin (Politecnico di Torino, Torino, Italy)
  • Abdul Wahab (Nanyang Technical University, Singapore)
  • Motoyuki Akamatsu (National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan)
Supporting Organizations
  • NEDO International Joint Research Grant Program
  • New Energy and Industrial Technology Development Organization, Grant Group
Project Budget$102,000 (Sabanci University's part)

ContactHuseyin Abut Send e-mail

Start Date2006
End Date2008.11
StatusCompleted
Project Description
Briefly, the goal of the project is:

1.Corraborative data collection of in-car driving behavior signals under operation of in-car spoken dialogue systems at Japan, US and Europe (Turkey).
2.Proposing a model of driving behavior and evaluate it through driver identification.
3.Draft document for the international standard ISO TC22 related to the interaction between in-car speech communication and driving.

Human cognition, decision and action processes while driving are studied in terms of human behavioral signal processing. Having international achievements in collecting a large in-car speech corpus, the research team makes an endeavor on collecting in-car human behavioral signals, across cultures and social systems. Theoretical developments will be evaluated using those human related signals under the real world. In order to promote the novel research area, research fundamentals, i.e., corpora, evaluation frameworks and algorithm standards, are also developed. Assisting and warning drivers and creating a new industrial field by fusing motor-car and amusement industries are one of the short term and long term goals of the project.

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