LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization

LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization

In this article, we present a unique comparative analysis, and evaluation of vision-, radio-, and audio-based localization algorithms. We create the first baseline for the aforementioned sensors using the recently published Lund University Vision, Radio, and Audio dataset, where all the sensors are...

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Bibliographic Details
Main Authors: Ilayda Yaman, Guoda Tian, Erik Tegler, Jens Gulin, Nikhil Challa, Fredrik Tufvesson, Ove Edfors, Kalle Astrom, Steffen Malkowsky, Liang Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Indoor and Seamless Positioning and Navigation
Subjects:
Computer vision
indoor localization
massive multiple-input multiple-output (MIMO)
multisensor dataset
simultaneous localization and mapping (SLAM)
Online Access:https://ieeexplore.ieee.org/document/10599608/
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