A Review of Environmental Context Detection for Navigation Based on Multiple Sensors release_zqewbmjyd5c55mycnj7qg3by6e

by Florent Feriol, Damien Vivet, Yoko Watanabe

Published in Sensors by MDPI AG.

2020   Volume 20, Issue 16, p4532

Abstract

Current navigation systems use multi-sensor data to improve the localization accuracy, but often without certitude on the quality of those measurements in certain situations. The context detection will enable us to build an adaptive navigation system to improve the precision and the robustness of its localization solution by anticipating possible degradation in sensor signal quality (GNSS in urban canyons for instance or camera-based navigation in a non-textured environment). That is why context detection is considered the future of navigation systems. Thus, it is important firstly to define this concept of context for navigation and to find a way to extract it from available information. This paper overviews existing GNSS and on-board vision-based solutions of environmental context detection. This review shows that most of the state-of-the art research works focus on only one type of data. It confirms that the main perspective of this problem is to combine different indicators from multiple sensors.
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Type  article-journal
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Date   2020-08-13
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DOI  10.3390/s20164532
PubMed  32823560
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