The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

Nearly 15,000 people die each year in the US in single vehicle roadway departure crashes. These accidents are often caused by driver inattention, or driver impairment (e.g. fatigued or intoxicated drivers). A system capable of warning the driver when the vehicle starts to depart the roadway, or controlling the lateral position of the vehicle to keep it in its lane, could potentially eliminate many of these crashes. This paper presents a system called RALPH (Rapidly Adapting Lateral Position Handler) which decomposes the problem of steering a vehicle into three steps, 1) sampling of the image, 2) determining the road curvature, and 3) determining the lateral offset of the vehicle relative to the lane center. The output of the later two steps are combined into a steering command, which can be compared with the human driver's current steering direction as part of a road departure warning system, or sent directly to the steering motor.

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, "RALPH: Rapidly Adapting Lateral Position Handler," IEEE Symposium on Intelligent Vehicles, September, 1995, pp. 506 - 511.

BibTeX Reference

@inproceedings{Pomerleau_1995_1789,
   author = "Dean Pomerleau",
   title = "RALPH: Rapidly Adapting Lateral Position Handler",
   booktitle = "IEEE Symposium on Intelligent Vehicles",
   pages = "506 - 511",
   month = "September",
   year = "1995",
}

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