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Adapting Convolutional Neural Networks for Indoor Localization with Smart Mobile Devices.

ACM Great Lakes Symposium on VLSI, pp.117-122, (2018)

Cited by: 21|Views145
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Abstract

Indoor localization is emerging as an important application domain for enhanced navigation (or tracking) of people and assets in indoor locales such as buildings, malls, and underground mines. Most indoor localization solutions proposed in prior work do not deliver good accuracy without expensive infrastructure (and even then, the results...More

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Ayush Mittal
Ayush Mittal
Saideep Tiku
Saideep Tiku
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