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

Keywords

  • Driver monitoring
  • Software Architecture
  • Risk Assessment
  • Perception

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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)