An artificial intelligence and mixed reality approach for optimizing the bridge inspection workflow

Embers, Stephan; Zentgraf, Sven; Herbers, Patrick; Faltin, Benedikt; Celik, Firdes; König, Markus; Braun, Jan-Derrick; Steinjan, Jessica; Schammler, David; Nieborowsk, Sonja; Holst, Ralph

doi:10.35490/ec3.2022.195

Cited by 2 publications

(3 citation statements)

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“…Techniques integration, using semi-automated algorithms and Artificial Intelligence (AI), becomes functional in assessing the state of preservation and structures health monitoring [31]. The literature includes studies and tests on the application of XR, in its broadest sense, to the analysis of infrastructures, from the semi-automated quantification of defects [32]- [34] to support for operators during visual inspection [35]- [38].…”

Section: Digital Tools: Fields Of Applications and Examplesmentioning

confidence: 99%

Mixed Reality procedures for the maintenance of existing bridges and retaining walls

Savini,

Castiglia,

Gargaro

et al. 2023

ce papers

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National and International road networks are made of structures and infrastructures that often exhibit poor performance due to a lack of maintenance. In this context, Italy recently renewed the legislation regarding existing infrastructure analysis to support knowledge and facilitate a homogeneous data acquisition process. Thus a key component of the process consists of the visual inspection protocols complemented by physical and mechanical measures. This applies to all the structures built for the road network operation, including those classified as geotechnical whose deterioration is often neglected or appropriately surveyed. Along with the definition of a data form for collecting datasets on these aspects, a relevant aspect of the process is the implementation of a collaborative environment for the information management and analysis systems supporting the interested parties in the field. The paper reports the design of a base geotechnical inspection form for Retaining Wall and illustrates some aspects of its implementation in a digital environment. Mixed Reality techniques in combination with web‐based tools for data collection are investigated to increase the feasibility and reliability of the visual inspection of existing road networks.

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Section: Digital Tools: Fields Of Applications and Examplesmentioning

confidence: 99%

Mixed Reality procedures for the maintenance of existing bridges and retaining walls

Savini,

Castiglia,

Gargaro

et al. 2023

ce papers

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show abstract

“…Bridge inspection and maintenance were enhanced by providing inspectors with packaged design information needed for conducting inspections in an MR environment, providing a structured record of inspection data linked to BIM [39,40]. Using artificial intelligence to provide inspectors with a history of damage records also improved the efficiency and accuracy of evaluating the structural integrity of bridges [41].…”

Section: Xr Applications In the Aeco Industrymentioning

confidence: 99%

“…In contrast, a combination of a tablet and HMD could be employed at sites with limited connectivity, harnessing the tablet's computational power for processing while using the HMD for data collection and visualization, an approach previously investigated [41]. While this approach may address the overheating issue, its application solely for automating dimensional checks could be overly complex.…”

Section: Hardware Limitationsmentioning

confidence: 99%

Scene Understanding for Dimensional Compliance Checks in Mixed-Reality

Lee,

Yabuki,

Fukuda

2023

CivilEng

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Building inspections are critical for ensuring compliance with construction standards, but conventional methods, often manual, face challenges in efficiency and consistency due to heavy reliance on human factors. Mixed-reality (MR) solutions could potentially address these challenges as they reportedly achieve good efficiency and accuracy in mapping indoor environments. This research investigates the potential of utilizing a wearable MR device to perform dimensional checks through edge computing of device sensor data, reducing the reliance on human factors. The accuracy of MR-computed dimensions against ground truth data for common building elements was assessed. Results indicate that MR-computed dimensions align well with ground truth for simple objects, but complex objects such as staircases presented limitations in achieving satisfactory results. If-then checks applied to MR-computed dimensions for automated detection of non-compliance were successfully experimented. However, automating compliance checks for standards with complex rules requires further investigation. This research sheds light on the potential of MR solutions for building inspections and highlights future research directions to enhance its applicability and effectiveness in the construction industry.

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An artificial intelligence and mixed reality approach for optimizing the bridge inspection workflow

Cited by 2 publications

References 0 publications

Mixed Reality procedures for the maintenance of existing bridges and retaining walls

Mixed Reality procedures for the maintenance of existing bridges and retaining walls

Scene Understanding for Dimensional Compliance Checks in Mixed-Reality

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