Data Collection with UYANIK Too Much Pain But Gains are Coming

Abut H., Erdogan H., Ercil A., Cuerueklue B., Koman H. C., Tas F., ...Daha Fazla

Biennial on DSP for In-Vehicle and Mobile Systems, 3 - 05 Temmuz 2007 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1007/978-0-387-79582-9_3
  • Anahtar Kelimeler: Drive-Safe, NEDO, UYANIK, Data collection, Istanbul route, Brake pedal pressure sensor, Gas pedal pressure sensor, Laser ranger finder, EEG, CAN-Bus, IVMCTool, Driver modeling, Distraction, Fatigue, Safety, Abnormal driving, Reference driving, Online banking, Navigational dialog, Road-sign reading, Driver verification, Speech recognition, Multi-classifier, Facial feature tracking, 3D head tracking
  • Galatasaray Üniversitesi Adresli: Evet

Özet

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.