ML Anthology

Vision-Based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization

Ravi Kumar Satzoda, Mohan M. Trivedi
CVPRW 2013 pp. 604-609
doi:10.1109/CVPRW.2013.91 /cvprw/2013/satzoda2013cvprw-visionbased/

Abstract

Lane feature extraction is one of the key computational steps in lane analysis systems. In this paper, we propose a lane feature extraction method, which enables different configurations of embedded solutions that address both accuracy and embedded systems' constraints. The proposed lane feature extraction process is evaluated in detail using real world lane data, to explore its effectiveness for embedded realization and adaptability to varying contextual information like lane types and environmental conditions.

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Cite

Text

Satzoda and Trivedi. "Vision-Based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013. doi:10.1109/CVPRW.2013.91

Markdown

[Satzoda and Trivedi. "Vision-Based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013.](https://mlanthology.org/cvprw/2013/satzoda2013cvprw-visionbased/) doi:10.1109/CVPRW.2013.91

BibTeX

@inproceedings{satzoda2013cvprw-visionbased,
  title     = {{Vision-Based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization}},
  author    = {Satzoda, Ravi Kumar and Trivedi, Mohan M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2013},
  pages     = {604-609},
  doi       = {10.1109/CVPRW.2013.91},
  url       = {https://mlanthology.org/cvprw/2013/satzoda2013cvprw-visionbased/}
}