Presentation + Paper
22 April 2020 A comparison of SWaP-limited, visual-inertial odometry systems for GPS-denied navigation
Olegs Mise, Richard Madison, Brian Haight
Author Affiliations +
Abstract
It is highly desired that modern navigational systems work accurately and reliably not only in the situations where a GPS signal is available but also in the situations where GPS signal is not present or is artificially jammed. In many GPS restricted situations, such as indoors, caves, canyons or GPS jamming situations, traditional navigation systems fail to operate. Nowadays, many researchers propose multiple solutions to overcome these limitations. Amongst different solutions for solving GPS-denied navigation, Visual-Inertial Odometry (VIO) gets significant attention in the research community. However, due to significant computational requirements and insufficient robustness while handling complex real life situations, only a small subset of the proposed solutions can provide desirably accurate results and be considered for applications where acceptable Size, Weight, and Power (SWaP) are limited. In this paper, we compare accuracy and robustness of several popular, open-source algorithms and Commercial Off-The-Shelf (COTS) VIO systems potentially suitable for SWaP-limited platforms and applicable for wearable-type applications.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Olegs Mise, Richard Madison, and Brian Haight "A comparison of SWaP-limited, visual-inertial odometry systems for GPS-denied navigation", Proc. SPIE 11424, Situation Awareness in Degraded Environments 2020, 1142406 (22 April 2020); https://doi.org/10.1117/12.2554456
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Navigation systems

Sensors

Visualization

Cameras

Calibration

Gyroscopes

Detection and tracking algorithms

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