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

doi:10.1007/978-0-387-79582-9_3

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

Department of Control and Automation Engineering

San Diego State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

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.

Original language	English
Title of host publication	In-Vehicle Corpus and Signal Processing for Driver Behavior
Publisher	Springer Science and Business Media, LLC
Pages	23-43
Number of pages	21
ISBN (Print)	9780387795812
DOIs	https://doi.org/10.1007/978-0-387-79582-9_3
Publication status	Published - 2009
Event	3rd Biennial Workshop on Digital Signal Processing for Mobile and Vehicular Systems, DSP 2007 - Istanbul, Turkey Duration: 1 Jun 2007 → 1 Jun 2007

Publication series

Name	In-Vehicle Corpus and Signal Processing for Driver Behavior

Conference

Conference	3rd Biennial Workshop on Digital Signal Processing for Mobile and Vehicular Systems, DSP 2007
Country/Territory	Turkey
City	Istanbul
Period	1/06/07 → 1/06/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 17 Partnerships for the Goals

Keywords

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
UYANIK

Access to Document

10.1007/978-0-387-79582-9_3

Cite this

Abut, H., Erdoǧan, H., Erçil, A., Çürüklü, B., Koman, H. C., Taş, F., Argunşah, A. Ö., Coşar, S., Akan, B., Karabalkan, H., Çökelek, E., Fiçici, R., Sezer, V., Daniş, S., Karaca, M., Abbak, M., Uzunbaş, M. G., Eritmen, K., Imamoǧlu, M., & Karabat, Ç. (2009). Real-world data collection with "uYANIK". In In-Vehicle Corpus and Signal Processing for Driver Behavior (pp. 23-43). (In-Vehicle Corpus and Signal Processing for Driver Behavior). Springer Science and Business Media, LLC. https://doi.org/10.1007/978-0-387-79582-9_3

@inproceedings{ac0153b0d47548b09da3edfb1c4bee72,

title = "Real-world data collection with {"}uYANIK{"}",

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.",

keywords = "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, UYANIK",

author = "H{\"u}seyin Abut and Hakan Erdoǧan and Ayt{\"u}l Er{\c c}il and Baran {\c C}{\"u}r{\"u}kl{\"u} and Koman, \{Hakki Can\} and Fatih Ta{\c s} and Argun{\c s}ah, \{Ali {\"O}zg{\"u}r\} and Serhan Co{\c s}ar and Batu Akan and Harun Karabalkan and Emrecan {\c C}{\"o}kelek and Rahmi Fi{\c c}ici and Volkan Sezer and Serhan Dani{\c s} and Mehmet Karaca and Mehmet Abbak and Uzunba{\c s}, \{Mustafa G{\"o}khan\} and Kayhan Eritmen and M{\"u}min Imamoǧlu and {\c C}aǧatay Karabat",

year = "2009",

doi = "10.1007/978-0-387-79582-9\_3",

language = "English",

isbn = "9780387795812",

series = "In-Vehicle Corpus and Signal Processing for Driver Behavior",

publisher = "Springer Science and Business Media, LLC",

pages = "23--43",

booktitle = "In-Vehicle Corpus and Signal Processing for Driver Behavior",

address = "United States",

note = "3rd Biennial Workshop on Digital Signal Processing for Mobile and Vehicular Systems, DSP 2007 ; Conference date: 01-06-2007 Through 01-06-2007",

}

Abut, H, Erdoǧan, H, Erçil, A, Çürüklü, B, Koman, HC, Taş, F, Argunşah, AÖ, Coşar, S, Akan, B, Karabalkan, H, Çökelek, E, Fiçici, R, Sezer, V, Daniş, S, Karaca, M, Abbak, M, Uzunbaş, MG, Eritmen, K, Imamoǧlu, M & Karabat, Ç 2009, Real-world data collection with "uYANIK". in In-Vehicle Corpus and Signal Processing for Driver Behavior. In-Vehicle Corpus and Signal Processing for Driver Behavior, Springer Science and Business Media, LLC, pp. 23-43, 3rd Biennial Workshop on Digital Signal Processing for Mobile and Vehicular Systems, DSP 2007, Istanbul, Turkey, 1/06/07. https://doi.org/10.1007/978-0-387-79582-9_3

Real-world data collection with "uYANIK". / Abut, Hüseyin; Erdoǧan, Hakan; Erçil, Aytül et al.
In-Vehicle Corpus and Signal Processing for Driver Behavior. Springer Science and Business Media, LLC, 2009. p. 23-43 (In-Vehicle Corpus and Signal Processing for Driver Behavior).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Real-world data collection with "uYANIK"

AU - Abut, Hüseyin

AU - Erdoǧan, Hakan

AU - Erçil, Aytül

AU - Çürüklü, Baran

AU - Koman, Hakki Can

AU - Taş, Fatih

AU - Argunşah, Ali Özgür

AU - Coşar, Serhan

AU - Akan, Batu

AU - Karabalkan, Harun

AU - Çökelek, Emrecan

AU - Fiçici, Rahmi

AU - Sezer, Volkan

AU - Daniş, Serhan

AU - Karaca, Mehmet

AU - Abbak, Mehmet

AU - Uzunbaş, Mustafa Gökhan

AU - Eritmen, Kayhan

AU - Imamoǧlu, Mümin

AU - Karabat, Çaǧatay

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - 3D head tracking

KW - Abnormal driving

KW - Brake pedal pressure sensor

KW - CAN-Bus

KW - Data collection

KW - Distraction

KW - Drive-Safe

KW - Driver modeling

KW - Driver verification

KW - EEG

KW - Facial feature tracking

KW - Fatigue

KW - Gas pedal pressure sensor

KW - IVMCTool

KW - Istanbul route

KW - Laser ranger finder

KW - Multi-classifier

KW - NEDO

KW - Navigational dialog

KW - On-line banking

KW - Reference driving

KW - Road-sign reading

KW - Safety

KW - Speech recognition

KW - UYANIK

UR - https://www.scopus.com/pages/publications/84892300805

U2 - 10.1007/978-0-387-79582-9_3

DO - 10.1007/978-0-387-79582-9_3

M3 - Conference contribution

AN - SCOPUS:84892300805

SN - 9780387795812

T3 - In-Vehicle Corpus and Signal Processing for Driver Behavior

SP - 23

EP - 43

BT - In-Vehicle Corpus and Signal Processing for Driver Behavior

PB - Springer Science and Business Media, LLC

T2 - 3rd Biennial Workshop on Digital Signal Processing for Mobile and Vehicular Systems, DSP 2007

Y2 - 1 June 2007 through 1 June 2007

ER -

Real-world data collection with "uYANIK"

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this