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Carnegie Mellon Robotics Institute

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Abstract

Reduced visibility is a common casual factor in many traffic accidents. This paper describes a forward looking vision system which simultaneously tracks the lane and estimates visibility. The system estimates the visibility by measuring the attenuation of contrast between consistent road features at various distances ahead of the vehicle. Results of experiments on simulated images, as well as live vehicle tests are presented.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): NavLab

Associated Project(s): Rapidly Adapting Lateral Position Handler

Text Reference

Dean Pomerleau, "Visibility Estimation from a Moving Vehicle Using the RALPH Vision System," IEEE Conference on Intelligent Transportation Systems, November, 1997, pp. 906 - 911.

BibTeX Reference

@inproceedings{Pomerleau_1997_948,
   author = "Dean Pomerleau",
   title = "Visibility Estimation from a Moving Vehicle Using the RALPH Vision System",
   booktitle = "IEEE Conference on Intelligent Transportation Systems",
   pages = "906 - 911",
   month = "November",
   year = "1997",
}

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