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Cited by 61Human-Automation Interaction and SafetyTraffic and Road SafetyAutonomous Vehicle Technology and Safety

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Argos: An Advanced In-Vehicle Data Recorder on a Massively Sensorized Vehicle for Car Driver Behavior Experimentation

Perez, Antonio, Garcia, M Isabel, Nieto, Manuel, Pedraza, Jose L, Rodriguez, Santiago, Zamorano, Juan·2010·IEEE Transactions on Intelligent Transportation Systems
DOI 10.1109/tits.2010.2046323
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Abstract

A crucial factor in traffic safety is driver behavior. A better understanding of driver actions will help in determining the most common reasons for car accidents. Therefore, research in this field helps to reduce accidents due to driver distraction. This paper presents Argos, which is a complex and powerfully computerized car to help researchers in the study of car driver behavior. The Argos system is an improved in-vehicle data recorder (IVDR) that allows recording many kinds of alphanumerical data such as the speed (vehicle data), the point of gaze (driver data), or the current distance to lateral road marks (environmental data). In addition, Argos can record up to nine simultaneous video images which are synchronized with the alphanumerical data. Argos can also generate and record different kinds of in-car light and audio stimuli, allowing an experiment supervisor to interact or to schedule specific actions to take place during an experiment.

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Crossref · 10.1109/tits.2010.2046323

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1 of 1 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 21

  1. 10.1109/TITS.2006.880638 · DOI
  2. 10.1109/TITS.2007.908146 · DOI
  3. 10.1109/TITS.2006.883111 · DOI
  4. 10.1109/TITS.2009.2026675 · DOI
  5. chidester, 2001, real world experiences with event data recorders, Int Technical Conf Enhanced Safety of Vehicles
  6. correia, 2001, utilizing data from automotive event data recorders, Proc Can Multidisciplinary Road Safety Conf XII
  7. 10.1016/j.trc.2008.01.001 · DOI
  8. du lac, 2008, rtmapsreal-time multisensor prototyping software, Proc 3rd Nat Conf Control Archit Robots
  9. dingus, 2006, The 100-car naturalistic driving study phase IIResults of the 100-car field experiment
  10. pastor, 1993, Automotive Sensory Systems, 185
  11. 10.1109/TII.2008.2002919 · DOI
  12. 10.1109/TII.2006.890522 · DOI
  13. 10.1109/TITS.2007.903441 · DOI
  14. 10.1037/1076-898X.9.2.119 · DOI
  15. 10.1109/TITS.2008.2011707 · DOI
  16. bell, 2006, policy issues for the future intelligent road transport infrastructure, IEE Proceedings Intelligent Transport Systems, 153, 147, 10.1049/ip-its:20060013 · DOI
  17. 10.1109/JCIT.1990.128354 · DOI
  18. 10.1016/S1369-8478(00)00019-X · DOI
  19. nunes, 1997, argos program: development of technological systems and research programs for driver behavior analysis under real traffic conditions, Proc of 3rd ISH, 630
  20. 10.1016/S1369-8478(02)00012-8 · DOI
  21. 10.1016/S1369-8478(02)00010-4 · DOI

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Metadata

Authors
Perez, A., Garcia, M. I., Nieto, M., Pedraza, J. L., Rodriguez, S., & Zamorano, J.
Affiliations
Universidad Politécnica de Madrid (ES)
ORCID
Zamorano, Juan
Venue
IEEE Transactions on Intelligent Transportation Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2010-06
Volume
11
Issue
2
Pages
463-473
ISSN
  • 1524-9050 (ISSN-L)
  • 1558-0016
DOI
10.1109/tits.2010.2046323
OpenAlex
W2139724273
Cited by
61
References
1
Citations by year
2025: 2 · 2024: 2 · 2023: 1 · 2022: 8 · 2021: 1 · 2020: 6 · 2018: 3 · 2017: 4 · 2016: 4 · 2015: 2 · 2014: 8 · 2013: 4 · 2012: 8
FWCI
8.75
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
IEEE Transactions on Intelligent Transportation Systems (publishedVersion)
Topics
  • Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
Keywords
driver behavior, driver distraction, vehicle speed recording, video recording, road safety, Argos

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