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A Review of Environmental Context Detection for Navigation Based on Multiple Sensors
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 it...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472608/ https://www.ncbi.nlm.nih.gov/pubmed/32823560 http://dx.doi.org/10.3390/s20164532 |
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author | Feriol, Florent Vivet, Damien Watanabe, Yoko |
author_facet | Feriol, Florent Vivet, Damien Watanabe, Yoko |
author_sort | Feriol, Florent |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7472608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74726082020-09-17 A Review of Environmental Context Detection for Navigation Based on Multiple Sensors Feriol, Florent Vivet, Damien Watanabe, Yoko Sensors (Basel) Review 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. MDPI 2020-08-13 /pmc/articles/PMC7472608/ /pubmed/32823560 http://dx.doi.org/10.3390/s20164532 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Feriol, Florent Vivet, Damien Watanabe, Yoko A Review of Environmental Context Detection for Navigation Based on Multiple Sensors |
title | A Review of Environmental Context Detection for Navigation Based on Multiple Sensors |
title_full | A Review of Environmental Context Detection for Navigation Based on Multiple Sensors |
title_fullStr | A Review of Environmental Context Detection for Navigation Based on Multiple Sensors |
title_full_unstemmed | A Review of Environmental Context Detection for Navigation Based on Multiple Sensors |
title_short | A Review of Environmental Context Detection for Navigation Based on Multiple Sensors |
title_sort | review of environmental context detection for navigation based on multiple sensors |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472608/ https://www.ncbi.nlm.nih.gov/pubmed/32823560 http://dx.doi.org/10.3390/s20164532 |
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