Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Feriol, Florent, Vivet, Damien, Watanabe, Yoko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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
_version_ 1783579019149574144
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
work_keys_str_mv AT feriolflorent areviewofenvironmentalcontextdetectionfornavigationbasedonmultiplesensors
AT vivetdamien areviewofenvironmentalcontextdetectionfornavigationbasedonmultiplesensors
AT watanabeyoko areviewofenvironmentalcontextdetectionfornavigationbasedonmultiplesensors
AT feriolflorent reviewofenvironmentalcontextdetectionfornavigationbasedonmultiplesensors
AT vivetdamien reviewofenvironmentalcontextdetectionfornavigationbasedonmultiplesensors
AT watanabeyoko reviewofenvironmentalcontextdetectionfornavigationbasedonmultiplesensors