Fusion of ground penetrating radar and laser scanning for infrastructure mapping

Merkle, Dominik; Frey, Carsten; Reiterer, Alexander

doi:10.1515/jag-2020-0004

Cited by 20 publications

(11 citation statements)

References 15 publications

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“…Furthermore, we are working on a method to fuse both LiDAR and 3D ground penetrating radar (GPR) data into consistent georeferenced point clouds, allowing imaging of both the surface and subsurface. A first proof-of-concept has already been shown 6 .…”

Section: Discussionmentioning

confidence: 99%

Multimodal measurement system for road analysis and surveying of road surroundings

Olshausen

Roetner²,

Koch

et al. 2021

Automated Visual Inspection and Machine Vision IV

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Identification and documentation of the state of road infrastructure are rapidly gaining in importance due to increased traffic. This requires regular inspection in order to optimize maintenance efforts. Additionally, construction projects are getting more complex and demand digital planning and building processes. The data, which forms the basis for these processes, must be rapidly acquired and it must be digital. In this paper, a measurement vehicle is presented that efficiently collects all desired data. The vehicle is based on a modular system platform from the Fraunhofer-Institute for Physical Measurement Techniques IPM. It enables measurements for road analysis while driving with up to 80 km/h. Four lasers quantify the longitudinal evenness of the road with submillimetre precision and kHz temporal resolution. A pavement profile scanner built by Fraunhofer IPM is used to measure the transverse evenness of the road with millimetre precision and a 2 MHz sampling rate. Two cameras and an illumination system provide continuous high-resolution and high-contrast images of the road surface for the quantification of the road condition. Furthermore, additional instruments are mounted for the surveying of road surroundings. A clearance profile scanner built by Fraunhofer IPM scans a 345° area perpendicular to the driving direction and delivers 3D data with millimetre precision. Four cameras acquire highresolution images of the surrounding in all directions. In combination with a sophisticated post-processing pipeline, which extracts semantically segmented information from the images, this yields a digital, semantically interpreted representation of the mapped urban area.

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Section: Discussionmentioning

confidence: 99%

Multimodal measurement system for road analysis and surveying of road surroundings

Olshausen

Roetner²,

Koch

et al. 2021

Automated Visual Inspection and Machine Vision IV

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“…Allerdings sind Kameras auf fahrenden und fliegenden Plattformen vergleichsweise einfach zu integrieren. In Zukunft können auch Georadarsysteme für die Erfassung des Untergrunds und der inneren Struktur eines Bauwerks integriert werden – eine Kombination aus Laserscanner, Kamera und Geomonitor für das Mobile Mapping ist in [21] beschrieben.…”

Section: Anwendungsbeispiel Brückeunclassified

Digitalisierung von Bestandsbauwerken mit KI

2022

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Der Zustand eines Bauwerks ist dadurch gekennzeichnet, dass er sich mit zunehmendem Alter immer schneller verschlechtert. Eine vorbeugende Maßnahme gegen die Alterung ist umso erfolgreicher, je früher sie ergriffen wird. Um die Nutzung komplexer Bauwerke zu verlängern, sind umfassende Informationen zu einem möglichst frühen Zeitpunkt erforderlich. Auf dem Weg zu einer vorausschauenden Instandhaltung ist Grundlagenforschung zu den Methoden der Erfassung, Zusammenführung und Auswertung aller Geometrie‐, Material‐, Spannungs‐ und Alterungsdaten erforderlich. Die Digitalisierung im Sinne der Erzeugung eines Digitalen Zwillings erhält in diesem Zusammenhang eine völlig neue Bedeutung. Sie ermöglicht die Zusammenführung und Echtzeitauswertung aller für Betrieb und Instandhaltung erforderlichen Daten. Die Bauwirtschaft steht hier jedoch vor besonderen Herausforderungen. Bauwerke, insbesondere in der Verkehrsinfrastruktur, sind einzigartige Objekte. Sie zeichnen sich durch enorme Dimensionen aus und haben eine wesentlich längere Lebensdauer als andere technische Anlagen. Die Veränderungen im Sinne einer Zustandsverschlechterung sind sehr gering und daher kaum messbar. Die Basis eines umfassenden Zustandsmonitorings ist eine umfassende und komplette digitale Repräsentation des Bauwerks. Dies bedeutet eine Abbildung der kompletten äußeren und inneren Struktur in einer digitalen Form, inkl. Informationen zu Materialien, Schadstellen etc. Daraus lässt sich die Forschungsfrage ableiten, ob sich eine solche Abbildung effizient umsetzen lässt und in welcher Form und mit welchen Methoden dies möglich ist. Der vorliegende Beitrag gibt einen Überblick, wie die Umsetzung auch für komplexe Objekte gelingt und wie das generierte Modell mit semantischer Information angereichert werden kann.

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“…Penetrating radar exploration of historic structure's columns may require only a simplified knowledge of the geometrical shapes [310,311]. The integration of positioning systems, laser scanning, and GPR presents exciting potential for integrated surface and subsurface mapping but is subject to limitations stemming from the multi-sensor approach [312].…”

Section: Radar Ultrasonic and Sonic Datamentioning

confidence: 99%

Close-Range Sensing and Data Fusion for Built Heritage Inspection and Monitoring—A Review

Adamopoulos

Rinaudo

2021

Remote Sensing

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Built cultural heritage is under constant threat due to environmental pressures, anthropogenic damages, and interventions. Understanding the preservation state of monuments and historical structures, and the factors that alter their architectural and structural characteristics through time, is crucial for ensuring their protection. Therefore, inspection and monitoring techniques are essential for heritage preservation, as they enable knowledge about the altering factors that put built cultural heritage at risk, by recording their immediate effects on monuments and historic structures. Nondestructive evaluations with close-range sensing techniques play a crucial role in monitoring. However, data recorded by different sensors are frequently processed separately, which hinders integrated use, visualization, and interpretation. This article’s aim is twofold: i) to present an overview of close-range sensing techniques frequently applied to evaluate built heritage conditions, and ii) to review the progress made regarding the fusion of multi-sensor data recorded by them. Particular emphasis is given to the integration of data from metric surveying and from recording techniques that are traditionally non-metric. The article attempts to shed light on the problems of the individual and integrated use of image-based modeling, laser scanning, thermography, multispectral imaging, ground penetrating radar, and ultrasonic testing, giving heritage practitioners a point of reference for the successful implementation of multidisciplinary approaches for built cultural heritage scientific investigations.

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Fusion of ground penetrating radar and laser scanning for infrastructure mapping

Cited by 20 publications

References 15 publications

Multimodal measurement system for road analysis and surveying of road surroundings

Multimodal measurement system for road analysis and surveying of road surroundings

Digitalisierung von Bestandsbauwerken mit KI

Close-Range Sensing and Data Fusion for Built Heritage Inspection and Monitoring—A Review

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