Abstract
In this chapter, we present data collection activities and preliminary research findings from the real-world database collected with “UYANIK,” a passenger car instrumented with several sensors, CAN-Bus data logger, cameras, microphones, data acquisitions systems, computers, and support systems. Within the shared frameworks of Drive-Safe Consortium (Turkey) and the NEDO (Japan) International Collaborative Research on Driving Behavior Signal Processing, close to 16 TB of driver behavior, vehicular, and road data have been collected from more than 100 drivers on a 25 km route consisting of both city roads and The Trans-European Motorway (TEM) in Istanbul, Turkey. Challenge of collecting data in a metropolis with around 12 million people and famous with extremely limited infrastructure yet driving behavior defying all rules and regulations bordering madness could not be “painless.” Both the experience gained and the preliminary results from still on-going studies using the database are very encouraging and give comfort.
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Notes
- 1.
These readings are information-rich for projects carried out with active/passive vehicle control and avoidance systems.
- 2.
Vehicle identification at a given time is done manually by studying the picture and the coordinates of the distances to the objects recorded by the laser scanner simultaneously.
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Acknowledgments
This work is partially supported by the State Planning Organization of Turkey (DPT) under the umbrella initiative called “Drive-Safe Consortium,” the NEDO collaborative grant titled “International Research Coordination of Driving Behavior Signal Processing Based on Large Scale Real World Database” from Japan, and the European Commission under grant FP6-2004-ACC-SSA-2 (SPICE).
The authors would like to acknowledge Mr. Hakan Tandoğdu, his team at Renault Manufacturing Plant in Bursa for retrofitting UYANIK, and his management for donating the vehicle. Turkcell, OPET, and Satko of Turkey have been sponsoring the data collection effort with goods and services.
We kindly appreciate the contributions and advice from Dr. Levent Guvenc and his students at ITU, Dr. Ali G. Göktan and Yunus Canlı at the OTAM Center of ITU in Turkey, and Dr. Engin Erzin of Koç University in Istanbul, and Dr. John H.L. Hansen and his team in Dallas. Without Dr. Kazuya Takeda of Nagoya University in Japan, the undertaking of this magnitude could not have happened. We are indebted to him and his colleagues in Nagoya.
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Abut, H. et al. (2009). Real-World Data Collection with “UYANIK”. In: Takeda, K., Erdogan, H., Hansen, J.H.L., Abut, H. (eds) In-Vehicle Corpus and Signal Processing for Driver Behavior. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-79582-9_3
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DOI: https://doi.org/10.1007/978-0-387-79582-9_3
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