Real-world data collection with "uYANIK"

Hüseyin Abut*, Hakan Erdoǧan, Aytül Erçil, Baran Çürüklü, Hakki Can Koman, Fatih Taş, Ali Özgür Argunşah, Serhan Coşar, Batu Akan, Harun Karabalkan, Emrecan Çökelek, Rahmi Fiçici, Volkan Sezer, Serhan Daniş, Mehmet Karaca, Mehmet Abbak, Mustafa Gökhan Uzunbaş, Kayhan Eritmen, Mümin Imamoǧlu, Çaǧatay Karabat

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationIn-Vehicle Corpus and Signal Processing for Driver Behavior
PublisherSpringer Science and Business Media, LLC
Number of pages21
ISBN (Print)9780387795812
Publication statusPublished - 2009
Event3rd Biennial Workshop on Digital Signal Processing for Mobile and Vehicular Systems, DSP 2007 - Istanbul, Turkey
Duration: 1 Jun 20071 Jun 2007

Publication series

NameIn-Vehicle Corpus and Signal Processing for Driver Behavior


Conference3rd Biennial Workshop on Digital Signal Processing for Mobile and Vehicular Systems, DSP 2007


  • 3D head tracking
  • Abnormal driving
  • Brake pedal pressure sensor
  • CAN-Bus
  • Data collection
  • Distraction
  • Drive-Safe
  • Driver modeling
  • Driver verification
  • EEG
  • Facial feature tracking
  • Fatigue
  • Gas pedal pressure sensor
  • IVMCTool
  • Istanbul route
  • Laser ranger finder
  • Multi-classifier
  • NEDO
  • Navigational dialog
  • On-line banking
  • Reference driving
  • Road-sign reading
  • Safety
  • Speech recognition


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