ON RAW INERTIAL MEASUREMENTS IN DYNAMIC NETWORKS

Dynamic Networks have been introduced in the literature to solve multi-sensor fusion problems for navigation and mapping. They have been shown to outperform conventional methods in challenging scenarios, such as corridor mapping or self-calibration. In this work we investigate the problem of how raw...

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Main Authors: D. A. Cucci, J. Skaloud
Format: Article
Language:English
Published: Copernicus Publications 2019-05-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W5/549/2019/isprs-annals-IV-2-W5-549-2019.pdf
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author D. A. Cucci
J. Skaloud
author_facet D. A. Cucci
J. Skaloud
author_sort D. A. Cucci
collection DOAJ
description Dynamic Networks have been introduced in the literature to solve multi-sensor fusion problems for navigation and mapping. They have been shown to outperform conventional methods in challenging scenarios, such as corridor mapping or self-calibration. In this work we investigate the problem of how raw inertial readings can be fused with GNSS position observations in Dynamic Networks (DN) with the goal of i) limiting the number of unknowns in the estimation problem and ii) improving the conditioning of the normal equations arising in least-squares adjustments in the absence of spatial constraints (e.g., image observations). For that we propose a modified version of the well known IMU-preintegration method, accounting for a non-constant gravity model, the Earth rotation and the apparent Coriolis force, and we compare it with the conventional DN formulation in a emulated scenario. This consists of a fixed-wing UAV flying four times over a 2 km long corridor.
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spelling doaj.art-3ebc1a496da04f48b24f879569d0511d2022-12-22T01:15:18ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502019-05-01IV-2-W554955710.5194/isprs-annals-IV-2-W5-549-2019ON RAW INERTIAL MEASUREMENTS IN DYNAMIC NETWORKSD. A. Cucci0J. Skaloud1Geodetic Engineering Laboratory, EPFL, Bâtiment GC - Station 18 - Lausanne, SwitzerlandGeodetic Engineering Laboratory, EPFL, Bâtiment GC - Station 18 - Lausanne, SwitzerlandDynamic Networks have been introduced in the literature to solve multi-sensor fusion problems for navigation and mapping. They have been shown to outperform conventional methods in challenging scenarios, such as corridor mapping or self-calibration. In this work we investigate the problem of how raw inertial readings can be fused with GNSS position observations in Dynamic Networks (DN) with the goal of i) limiting the number of unknowns in the estimation problem and ii) improving the conditioning of the normal equations arising in least-squares adjustments in the absence of spatial constraints (e.g., image observations). For that we propose a modified version of the well known IMU-preintegration method, accounting for a non-constant gravity model, the Earth rotation and the apparent Coriolis force, and we compare it with the conventional DN formulation in a emulated scenario. This consists of a fixed-wing UAV flying four times over a 2 km long corridor.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W5/549/2019/isprs-annals-IV-2-W5-549-2019.pdf
spellingShingle D. A. Cucci
J. Skaloud
ON RAW INERTIAL MEASUREMENTS IN DYNAMIC NETWORKS
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title ON RAW INERTIAL MEASUREMENTS IN DYNAMIC NETWORKS
title_full ON RAW INERTIAL MEASUREMENTS IN DYNAMIC NETWORKS
title_fullStr ON RAW INERTIAL MEASUREMENTS IN DYNAMIC NETWORKS
title_full_unstemmed ON RAW INERTIAL MEASUREMENTS IN DYNAMIC NETWORKS
title_short ON RAW INERTIAL MEASUREMENTS IN DYNAMIC NETWORKS
title_sort on raw inertial measurements in dynamic networks
url https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W5/549/2019/isprs-annals-IV-2-W5-549-2019.pdf
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