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文章基本信息

  • 标题:A Functional Driver Analyzing Concept
  • 本地全文:下载
  • 作者:Tobias Islinger ; Thorsten Köhler ; Christian Wolff
  • 期刊名称:Advances in Human-Computer Interaction
  • 印刷版ISSN:1687-5893
  • 电子版ISSN:1687-5907
  • 出版年度:2011
  • 卷号:2011
  • DOI:10.1155/2011/413964
  • 出版社:Hindawi Publishing Corporation
  • 摘要:It is evident that a lot of accidents occur because of drowsiness or inattentiveness of the driver. The logical consequence is that we have to find methods to better analyze the driver. A lot of research has been spent on camera-based systems which focus on the driver's eye gaze or his head movement. But there are few systems that provide camera-free driver analyzing. This is the main goal of the work presented here which is structured in three phases, with the operational goal of having a working driver analyzer implemented in a car. The main question is: is it possible to make statements concerning the driver and his state by using vehicle data from the CAN Bus only? This paper describes the current state of driver analyzing, our overall system architecture, as well as future work. At the moment, we focus on detecting the driving style of a person.
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