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Carnegie Mellon Robotics Institute

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Abstract

This paper describes an integrated MMW radar and GPS / road-map system for autonomous on-road navigation. The radar sensor has a range of approximately 200 metres and uses a linear array of receivers and wavefront reconstruction techniques to compute range and bearing of objects within the field of view. It is integrated with a carrier phase GPS / road-map system to accurately detect and classify obstacles in the environment with respect to the driving lane of the vehicle.

Notes

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

Text Reference

Dirk Langer and Bala Kumar, "Integrating Radar and Carrier Phase GPS for Classifying Roadway Obstacles," IEEE Intelligent Transportation Systems Confernece, November, 1997.

BibTeX Reference

@inproceedings{Langer_1997_941,
   author = "Dirk Langer and Bala Kumar",
   title = "Integrating Radar and Carrier Phase GPS for Classifying Roadway Obstacles",
   booktitle = "IEEE Intelligent Transportation Systems Confernece",
   month = "November",
   year = "1997",
}

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