Simultaneous Localization and Mapping for Indoor Mobile Robots Using Synthetic Aperture Radar Images

Synthetic aperture radar (SAR) imaging provides a method for increasing the resolution of small and low-cost frequency-modulated continuous-wave multiple-input multiple-output radar sensors. SAR images provide a dense representation of the environment, which may be used for scan matching in a simultaneous localization and mapping (SLAM) system. This article presents the details of an indoor SLAM system that utilizes SAR images for loop closure detection and scan matching. The obtained trajectory accuracy is compared against a laboratory reference system, and SAR imaging results are presented.

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Publication Details

Journal
IEEE Journal of Indoor and Seamless Positioning and Navigation
Published
2024-12-30
DOI
https://doi.org/10.1109/jispin.2024.3524487
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
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article

Simultaneous Localization and Mapping for Indoor Mobile Robots Using Synthetic Aperture Radar Images

J. M. Fink, Christian Waldschmidt, Yuma E. Ritterbusch
IEEE Journal of Indoor and Seamless Positioning and Navigation
Robotics and Sensor-Based Localization
article

Simultaneous Localization and Mapping for Indoor Mobile Robots Using Synthetic Aperture Radar Images

J. M. Fink, Christian Waldschmidt, Yuma E. Ritterbusch
article en

Abstract

Synthetic aperture radar (SAR) imaging provides a method for increasing the resolution of small and low-cost frequency-modulated continuous-wave multiple-input multiple-output radar sensors. SAR images provide a dense representation of the environment, which may be used for scan matching in a simultaneous localization and mapping (SLAM) system. This article presents the details of an indoor SLAM system that utilizes SAR images for loop closure detection and scan matching. The obtained trajectory accuracy is compared against a laboratory reference system, and SAR imaging results are presented.

IEEE Journal of Indoor and Seamless Positioning and NavigationVol. 3
Robert Bosch (Germany) (DE)
Openalex Percentile: Top 59%
Robotics and Sensor-Based Localization
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