A real time platform for estimating the driver - vehicle - environment state in AIDE integrated project

Angelos Amditis, Katia Pagle, Manolis Tsogas, Evangelos Bekiaris, Maria Panou, Helene Tattegrain Veste, Thierry Bellet, Serge Boverie, Matti Kutila, Gustav Markkula

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

4 Citations (Scopus)

Abstract

This paper describes the real time platform that achieves the perception of the Driver - Vehicle - Environment state, developed under the third subproject of AIDE. The platform processes the data that represent the Driver - Vehicle - Environment state, in a synchronised manner. The collected data come from on board sensors and applications that aim at achieving a reliable representation of the vehicle's kinetic state, the driver's level of availability, the lateral and rear field of the vehicle, the eyelid openings and head/gaze direction vectors tracked by camera views of the driver, and the map data coming from GPS.
Original languageEnglish
Title of host publicationProceedings of the 14th World Congress on Intelligent Transport Systems 2007
Pages4683-4690
Volume6
Publication statusPublished - 2007
MoE publication typeA4 Article in a conference publication
Event14th World Congress and Exhibition on Intelligent Transport Systems - Beijing, China
Duration: 9 Oct 200713 Oct 2007

Conference

Conference14th World Congress and Exhibition on Intelligent Transport Systems
CountryChina
CityBeijing
Period9/10/0713/10/07

Fingerprint

Global positioning system
Cameras
Availability
Kinetics
Sensors

Keywords

  • Driver monitoring
  • Software Architecture
  • Risk Assessment
  • Perception

Cite this

Amditis, A., Pagle, K., Tsogas, M., Bekiaris, E., Panou, M., Tattegrain Veste, H., ... Markkula, G. (2007). A real time platform for estimating the driver - vehicle - environment state in AIDE integrated project. In Proceedings of the 14th World Congress on Intelligent Transport Systems 2007 (Vol. 6, pp. 4683-4690)
Amditis, Angelos ; Pagle, Katia ; Tsogas, Manolis ; Bekiaris, Evangelos ; Panou, Maria ; Tattegrain Veste, Helene ; Bellet, Thierry ; Boverie, Serge ; Kutila, Matti ; Markkula, Gustav. / A real time platform for estimating the driver - vehicle - environment state in AIDE integrated project. Proceedings of the 14th World Congress on Intelligent Transport Systems 2007. Vol. 6 2007. pp. 4683-4690
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title = "A real time platform for estimating the driver - vehicle - environment state in AIDE integrated project",
abstract = "This paper describes the real time platform that achieves the perception of the Driver - Vehicle - Environment state, developed under the third subproject of AIDE. The platform processes the data that represent the Driver - Vehicle - Environment state, in a synchronised manner. The collected data come from on board sensors and applications that aim at achieving a reliable representation of the vehicle's kinetic state, the driver's level of availability, the lateral and rear field of the vehicle, the eyelid openings and head/gaze direction vectors tracked by camera views of the driver, and the map data coming from GPS.",
keywords = "Driver monitoring, Software Architecture, Risk Assessment, Perception",
author = "Angelos Amditis and Katia Pagle and Manolis Tsogas and Evangelos Bekiaris and Maria Panou and {Tattegrain Veste}, Helene and Thierry Bellet and Serge Boverie and Matti Kutila and Gustav Markkula",
note = "Project code: 612",
year = "2007",
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isbn = "978-1-61738-777-7",
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Amditis, A, Pagle, K, Tsogas, M, Bekiaris, E, Panou, M, Tattegrain Veste, H, Bellet, T, Boverie, S, Kutila, M & Markkula, G 2007, A real time platform for estimating the driver - vehicle - environment state in AIDE integrated project. in Proceedings of the 14th World Congress on Intelligent Transport Systems 2007. vol. 6, pp. 4683-4690, 14th World Congress and Exhibition on Intelligent Transport Systems , Beijing, China, 9/10/07.

A real time platform for estimating the driver - vehicle - environment state in AIDE integrated project. / Amditis, Angelos; Pagle, Katia; Tsogas, Manolis; Bekiaris, Evangelos; Panou, Maria; Tattegrain Veste, Helene; Bellet, Thierry; Boverie, Serge; Kutila, Matti; Markkula, Gustav.

Proceedings of the 14th World Congress on Intelligent Transport Systems 2007. Vol. 6 2007. p. 4683-4690.

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

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AU - Amditis, Angelos

AU - Pagle, Katia

AU - Tsogas, Manolis

AU - Bekiaris, Evangelos

AU - Panou, Maria

AU - Tattegrain Veste, Helene

AU - Bellet, Thierry

AU - Boverie, Serge

AU - Kutila, Matti

AU - Markkula, Gustav

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N2 - This paper describes the real time platform that achieves the perception of the Driver - Vehicle - Environment state, developed under the third subproject of AIDE. The platform processes the data that represent the Driver - Vehicle - Environment state, in a synchronised manner. The collected data come from on board sensors and applications that aim at achieving a reliable representation of the vehicle's kinetic state, the driver's level of availability, the lateral and rear field of the vehicle, the eyelid openings and head/gaze direction vectors tracked by camera views of the driver, and the map data coming from GPS.

AB - This paper describes the real time platform that achieves the perception of the Driver - Vehicle - Environment state, developed under the third subproject of AIDE. The platform processes the data that represent the Driver - Vehicle - Environment state, in a synchronised manner. The collected data come from on board sensors and applications that aim at achieving a reliable representation of the vehicle's kinetic state, the driver's level of availability, the lateral and rear field of the vehicle, the eyelid openings and head/gaze direction vectors tracked by camera views of the driver, and the map data coming from GPS.

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KW - Software Architecture

KW - Risk Assessment

KW - Perception

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ER -

Amditis A, Pagle K, Tsogas M, Bekiaris E, Panou M, Tattegrain Veste H et al. A real time platform for estimating the driver - vehicle - environment state in AIDE integrated project. In Proceedings of the 14th World Congress on Intelligent Transport Systems 2007. Vol. 6. 2007. p. 4683-4690