ML Anthology

A Rapidly Deployable Virtual Presence Extended Defense System

Mark W. Koch, Casey Giron, Hung D. Nguyen
CVPRW 2009 pp. 82-89
doi:10.1109/CVPRW.2009.5204089 /cvprw/2009/koch2009cvprw-rapidly/

Abstract

We have developed algorithms for a virtual presence and extended defense (VPED) system that automatically learns the detection map of a deployed sensor field without a-priori knowledge of the local terrain. The VPED system is a network of sensor pods, with each pod containing acoustic and seismic sensors. Each pod has a limited detection range, but a network of pods can form a virtual perimeter. The site's geography and soil conditions can affect the detection performance of the pods. Thus a network in the field may not have the same performance as a network designed in the lab. To solve this problem we automatically estimate a network's detection performance as it is being constructed. We demonstrate results using simulated and real data.

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Cite

Text

Koch et al. "A Rapidly Deployable Virtual Presence Extended Defense System." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009. doi:10.1109/CVPRW.2009.5204089

Markdown

[Koch et al. "A Rapidly Deployable Virtual Presence Extended Defense System." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009.](https://mlanthology.org/cvprw/2009/koch2009cvprw-rapidly/) doi:10.1109/CVPRW.2009.5204089

BibTeX

@inproceedings{koch2009cvprw-rapidly,
  title     = {{A Rapidly Deployable Virtual Presence Extended Defense System}},
  author    = {Koch, Mark W. and Giron, Casey and Nguyen, Hung D.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2009},
  pages     = {82-89},
  doi       = {10.1109/CVPRW.2009.5204089},
  url       = {https://mlanthology.org/cvprw/2009/koch2009cvprw-rapidly/}
}