A new low-cost tool for driver behavior analysis and studies

Baujon, J.; Lauffenburger, Jean-Philippe; Cheron, Ph.; Basset, Michel; Gissinger, G.L.

doi:10.1109/ivs.2000.898408

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…The goal in this work was to provide a metric for the difference in response times between simulation and the real world to be used as a "conversion table" when replacing future on-the-road studies by simulation. This solution can be assumed promising, as it has been shown for the automotive domain that simulation is a useful approach for data collection and driver behavior analysis, e. g., by Adler et al [5] or Baujon et al [6].…”

Section: A Simulation In Car Manufacturingmentioning

confidence: 99%

Simulating On-the-Road Behavior Using a Driving Simulator

Riener

2010

2010 Third International Conference on Advances in Computer-Human Interactions

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Abstract-In this paper, we summarize the initial results with regard to the question to what extent driving simulators can be used to serve as cheap and easy realizable environments for simulating on-the-road behavior. The aim of these first studies was to determine whether or not it is possible to replace real driving studies with experiments and furthermore, to identify parameters and/or restrictions for a second experimental series with improved settings. We have conducted two studies comparing the driver's reaction time in real and simulated environments with the final goal to provide a universal metric describing the differences in reaction time. The events were, in the case of simulation, triggered trace-driven or, in the real driving experiment, manually activated by the experimenter and notifications were forwarded to the driver using either a visual, auditory, or haptic sensory channel. The comparison of the two studies showed that (i) both settings provide similar results for the order of average response using the three feedback modalities and (ii) the experiment using a simulator performed, for the measure of reaction time, better in the range of 13% compared to the real driving study (the reason for this result is most likely caused by the fact that driving in a real world environment is much more challenging than in a driving simulator).

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Section: A Simulation In Car Manufacturingmentioning

confidence: 99%

Simulating On-the-Road Behavior Using a Driving Simulator

Riener

2010

2010 Third International Conference on Advances in Computer-Human Interactions

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“…The EyeAccessPilot [4] is equipped with two micro cameras which can give a precise position of the driver's eye direction. The system does not disturb the driver but requires the driver to wear a device that resembles a pair of glasses.…”

Section: A Classic Perspective Camerasmentioning

confidence: 99%

Catadioptric vision system for an optimal observation of the driver face and the road scene

Layerle¹,

Savatier²,

Mouaddib

et al. 2008

2008 IEEE Intelligent Vehicles Symposium

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In this paper, we propose to design a new compact sensor for the simultaneous monitoring of the driver activity and the road scene. This sensor will be integrated in a driver assistant system to study the correlation between the driver's gaze and the road scene. The device is based on a catadioptric configuration combining two different reflective surfaces. One enables the capture of a panoramic view of the environment in and out of the vehicle. Another has been designed to obtain a sufficient resolution for the eye tracking of the driver. With this new sensor, a 3D reconstruction by stereovision can be computed as two different projections of the driver's face can be contemplated on the same image. The complete design is validated with the study of the accuracy of stereovision reconstruction.

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