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

^*Bu çalışma için yazışmadan sorumlu yazar

Kontrol ve Otomasyon Mühendisliği Bölümü

San Diego State University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

14 Atıf (Scopus)

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	In-Vehicle Corpus and Signal Processing for Driver Behavior
Yayınlayan	Springer Science and Business Media, LLC
Sayfalar	23-43
Sayfa sayısı	21
ISBN (Basılı)	9780387795812
DOI'lar	https://doi.org/10.1007/978-0-387-79582-9_3
Yayın durumu	Yayınlandı - 2009
Etkinlik	3rd Biennial Workshop on Digital Signal Processing for Mobile and Vehicular Systems, DSP 2007 - Istanbul, Türkiye Süre: 1 Haz 2007 → 1 Haz 2007

Yayın serisi

Adı	In-Vehicle Corpus and Signal Processing for Driver Behavior

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	3rd Biennial Workshop on Digital Signal Processing for Mobile and Vehicular Systems, DSP 2007
Ülke/Bölge	Türkiye
Şehir	Istanbul
Periyot	1/06/07 → 1/06/07

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 11 Sürdürülebilir Şehirler ve Topluluklar
SKH 17 Hedefler için Ortaklıklar

Belgeye Erişim

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

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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, Türkiye, 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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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"

Özet

Yayın serisi

???event.eventtypes.event.conference???

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap