Ubiquitous Indoor Mapping Using Mobile Radio Tomography

The demand for real-time and accurate mapping is ubiquitous, particularly in complex indoor settings. While SLAM-based methods are popular, Radio Tomographic Imaging (RTI) offers an essential set of advantages, including mapping inaccessible or enclosed spaces, shorter scanning trajectories, or even identifying material properties of structures on the map. However, existing RTI systems typically depend on pre-deployed, precisely calibrated infrastructure with ample computing power, making it challenging to deploy in a ubiquitous setting. We design <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">UbiqMap</small> , a lightweight RTI-based end-to-end system capable of mapping indoor spaces in real-time, with minimal to zero reliance over pre-deployed infrastructure. We evaluate the performance of <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">UbiqMap</small> in various scenarios, including two real deployments - a moderately complex residential apartment (800 sq. ft) and a large building foyer area (3000 sq. ft) and a few simulated scenarios. We demonstrate how <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">UbiqMap</small> can benefit over traditional SLAM-based techniques in specific contexts and advocate the fusion of RTI methods with SLAM to improve future mapping technologies. Overall, <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">UbiqMap</small> improves the quality of the estimated map by 30%–40% over the state-of-the-art with equivalent resource availability.

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Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2024-08-13
DOI
https://doi.org/10.1109/tmc.2024.3442439
Citations
1
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.21
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article

Ubiquitous Indoor Mapping Using Mobile Radio Tomography

Ayon Chakraborty, Amartya Basu, Kush Jajal
1 citations
IEEE Transactions on Mobile Computing
Indoor and Outdoor Localization Technologies
0.21
article

Ubiquitous Indoor Mapping Using Mobile Radio Tomography

Ayon Chakraborty, Amartya Basu, Kush Jajal
article en
1 citations

Abstract

The demand for real-time and accurate mapping is ubiquitous, particularly in complex indoor settings. While SLAM-based methods are popular, Radio Tomographic Imaging (RTI) offers an essential set of advantages, including mapping inaccessible or enclosed spaces, shorter scanning trajectories, or even identifying material properties of structures on the map. However, existing RTI systems typically depend on pre-deployed, precisely calibrated infrastructure with ample computing power, making it challenging to deploy in a ubiquitous setting. We design <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">UbiqMap</small> , a lightweight RTI-based end-to-end system capable of mapping indoor spaces in real-time, with minimal to zero reliance over pre-deployed infrastructure. We evaluate the performance of <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">UbiqMap</small> in various scenarios, including two real deployments - a moderately complex residential apartment (800 sq. ft) and a large building foyer area (3000 sq. ft) and a few simulated scenarios. We demonstrate how <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">UbiqMap</small> can benefit over traditional SLAM-based techniques in specific contexts and advocate the fusion of RTI methods with SLAM to improve future mapping technologies. Overall, <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">UbiqMap</small> improves the quality of the estimated map by 30%–40% over the state-of-the-art with equivalent resource availability.

IEEE Transactions on Mobile ComputingVol. 23(12)
Indian Institute of Technology Indore (IN)
Openalex Percentile: Top 49%
Indoor and Outdoor Localization Technologies
0.21
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Ubiquitous Indoor Mapping Using Mobile Radio Tomography — Ayon Chakraborty, Amartya Basu, et al. · IEEE Transactions on Mobile Computing (2024) | TGRS Research Map | TGRS