ARIEL: Advanced radiofrequency indoor environment localization: Smoke conditions positioning

@article{Aviles2011ARIELAR,
  title={ARIEL: Advanced radiofrequency indoor environment localization: Smoke conditions positioning},
  author={Jose Vicente Marti Aviles and Raul Marin Prades},
  journal={2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS)},
  year={2011},
  pages={1-8}
}
Indoor sensor location is a complex task. In normal circumstances laser meters, ultrasonic meters or even image processing may be used to estimate the position of a given node at a particular moment. Indoor localization in low-visibility conditions due to smoke is one of the goals that has been studied within the EU GUARDIANS project (http://vision.eng.shu.ac.uk/mmvlwiki/index.php/GUARDIANS). When the density of the smoke grows beyond the 25%, optical sensors such as laser and cameras are not… CONTINUE READING

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