A General Purpose Feature Extractor for Light Detection and Ranging Data

Abstract

Feature extraction is a central step of processing Light Detection and Ranging (LIDAR) data. Existing detectors tend to exploit characteristics of specific environments: corners and lines from indoor (rectilinear) environments, and trees from outdoor environments. While these detectors work well in their intended environments, their performance in different… (More)
DOI: 10.3390/s101110356

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Cite this paper

@inproceedings{Li2010AGP, title={A General Purpose Feature Extractor for Light Detection and Ranging Data}, author={Yangming Li and Edwin Olson}, booktitle={Sensors}, year={2010} }