ML Anthology

Cooperative Methods for Road Tracking in Aerial Imagery

David M. McKeown Jr., Jerry L. Denlinger
CVPR 1988 pp. 662-672
doi:10.1109/CVPR.1988.196307 /cvpr/1988/jr1988cvpr-cooperative/

Abstract

A description is given of research in digital mapping and image understanding in the area of automated feature extraction from aerial imagery. The authors discuss a system for road tracking, ARF (A Road Follower), that uses multiple cooperative methods for extracting information about road location and structure from complex aerial imagery. This system is a multilevel architecture for image analysis that follows for cooperation among low-level processes and aggregation of information by high-level analysis components. Two low-level road tracking methods have been implemented: road-surface texture correlation and road-edge following. Each works independently to establish a model of the centerline of the road, its width, and other local properties.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

CVPR Semantic Scholar

Cite

Text

Jr. and Denlinger. "Cooperative Methods for Road Tracking in Aerial Imagery." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196307

Markdown

[Jr. and Denlinger. "Cooperative Methods for Road Tracking in Aerial Imagery." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/jr1988cvpr-cooperative/) doi:10.1109/CVPR.1988.196307

BibTeX

@inproceedings{jr1988cvpr-cooperative,
  title     = {{Cooperative Methods for Road Tracking in Aerial Imagery}},
  author    = {Jr., David M. McKeown and Denlinger, Jerry L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {662-672},
  doi       = {10.1109/CVPR.1988.196307},
  url       = {https://mlanthology.org/cvpr/1988/jr1988cvpr-cooperative/}
}