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

Feriol, Florent and Vivet, Damien and Watanabe, Yoko A Review of Environmental Context Detection for Navigation Based on Multiple Sensors. (2021) Sensors, 20 (16). 4532. ISSN 1424-8220

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Official URL: https://doi.org/10.3390/s20164532

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.

Item Type:Article
Additional Information:This article belongs to the Special Issue Sensors and Sensor's Fusion in Autonomous Vehicles
HAL Id:hal-03192437
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
French research institutions > Office National d'Etudes et Recherches Aérospatiales - ONERA (FRANCE)
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Funders:
AID CONCORDE No 2019 65 0090004707501
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Deposited On:07 Apr 2021 22:49

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