Using UAS for Roofs Structure Inspections at Post-occupational Residential Buildings

Silveira, Bruno; Melo, Roseneia Rodrigues Santos de; Costa, Dayana Bastos

doi:10.1007/978-3-030-51295-8_73

Cited by 8 publications

(9 citation statements)

References 19 publications

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“…No Brasil, cada vez mais, fica evidente a necessidade de monitoramento dos serviços no canteiro de obras em tempo real (Alvarez et al, 2019, Silveira et al, 2020. As informações ainda são geradas manualmente, a partir da fiscalização dos supervisores (Leite, 2018).…”

Section: A Construção Civil No Brasil: Breve Contextounclassified

Estratégias de gamificação: um sistema web para disseminar as informações de produção para os trabalhadores da construção civil

Leite

Alves

2021

RSD

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A indústria da construção civil tem procurado se modernizar para acompanhar as mudanças tecnológicas que vem ocorrendo no cotidiano das pessoas, porém a falta de transparência no processo de construção leva a dificuldade de entendimento pelos operários e a problemas de comunicação entre os níveis tático e operacional. Este artigo tem o objetivo de discutir e apresentar a solução desenvolvida para facilitar a comunicação entre trabalhadores e gestores no canteiro de obras a fim de melhorar o entendimento das metas de trabalhos. Trata-se de uma pesquisa exploratória com abordagem metodológica Design Science usando o método o Design Science Research. A pesquisa foi dividida em três fases, a saber: (1) Compreensão, (2) Desenvolvimento, (3) Avaliações. O presente artigo corresponde a fase de desenvolvimento da solução, envolvendo análise de requisitos dos gestores e trabalhadores da construção civil a fim de elaborar um sistema web com interface gamificada. A partir das informações produzidas e da revisão bibliográfica desenvolveu-se um sistema gamificado. O contexto da construção civil evidência que os trabalhadores possuem carência de reconhecimento e têm baixa escolaridade. A interação com esses sujeitos indicou que a inserção de estratégias gamificadas poderia contribuir para a melhoria da comunicação. Os resultados apontam que a solução proposta pode minimizar estes problemas.

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Section: A Construção Civil No Brasil: Breve Contextounclassified

Estratégias de gamificação: um sistema web para disseminar as informações de produção para os trabalhadores da construção civil

Leite

Alves

2021

RSD

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“…One solution for buildings roofs inspection is Unmanned Aerial System (UAS) for image capture [2]. UASs can provide a large amount of data in a short period, allowing the visualization of pathologies in hardto-reach areas, safely and at low cost, when compared to manual visual inspection methods [3].…”

Section: Introductionmentioning

confidence: 99%

“…Silveira et al [3] evaluated the use of UAS for roof inspection on post-occupation residential buildings, aiming to assist in the decision-making process. The authors assessed items that can be viewed with UAS and developed a manual flight mode protocol for flight planning and data collection with UAS.…”

Section: Introductionmentioning

confidence: 99%

“…Bown e Miller [2] recommends the use of individual still images process for sloped roof inspection with UAS, for being faster than other options (image stitching, video recording, streaming), also providing evidence in a manageable format (small individual photos). According to Silveira et al [3], UAS use allows to increase transparency, simplify steps, decrease the time to carry out roof inspections, speed up the preparation of reports, and apply corrective actions.…”

Section: Introductionmentioning

confidence: 99%

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Data augmentation approach in detecting roof pathologies with UASs images

Staffa

Nogueira

Lima

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Machine learning and computer vision techniques contribute to the automation roof pathologies identification from images collected with Unmanned Aerial System (UASs). However, one of the challenges for practical machine learning model tuning is the small-data problem. One strategy is to adopt data augmentation for generating more training data from existing images. This paper evaluates data augmentation in detecting pathologies in roof inspections with UASs images. The study adopted data augmentation for training two models in an image processing system. The training and tests using data augmentation images obtained superior results in accuracy, precision, recall, F-score, negative precision, and specificity metrics compared to the study using only original photos. These results indicate that data augmentation improves the adopted system’s performance in identifying roof pathologies in UAS images. This inspection system proposed with such integrated technologies would make it possible to increase transparency, simplify steps and reduce the time to perform roof inspections, streamlining the preparation of reports and application of corrective actions.

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“…An overview is given in (Brilakis and Haas, 2019). The usefulness of UAS was shown for example for the inspection of pipelines in the combination with virtual reality (VR) tools (Liu et al, 2019), residential building roofs (Silveira et al, 2021), or infrastructure inspection (Morgenthal et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of 3d Uas Flight Path Planning Algorithms

Debus

Rodehorst

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The application of image-based methods in inspections and monitoring has increased significantly over recent years. This is especially the case for the inspection of large structures that are not easily accessible for human inspectors. Here, unmanned aircraft systems (UAS) can support by generating high-quality images, that contain valuable information about the structure’s condition. To guarantee high quality and completeness for the acquired data, inspection missions are planned in advance by computing a flight path for the UAS, that covers the entire structure with the required quality. Many approaches on this topic exist that aim to solve this planning task. Nevertheless, each publication on this matter mostly stands on its own, working with its own criteria and no comparison to other approaches. Therefore, it is currently not possible to compare different approaches and select the most suitable for a specific scenario. To solve this problem, this work proposes an evaluation pipeline that applies well defined quality criteria on flight paths for close-range image-based inspections. These criteria are limited to fundamental aspects for the evaluation of paths that were created for diverse scenarios with diverse criteria and still find common ground for comparison. As experiments show, this pipeline allows the comparison of different approaches, objectifying the performance and working towards a common understanding of the current state of the art. Finally, the Bauhaus Path Planning Challenge is presented, inviting submissions to a comparison based on this pipeline to collaborate on an objective ranking, available under https://uni-weimar.de/pathplanning.

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Using UAS for Roofs Structure Inspections at Post-occupational Residential Buildings

Cited by 8 publications

References 19 publications

Estratégias de gamificação: um sistema web para disseminar as informações de produção para os trabalhadores da construção civil

Estratégias de gamificação: um sistema web para disseminar as informações de produção para os trabalhadores da construção civil

Data augmentation approach in detecting roof pathologies with UASs images

Evaluation of 3d Uas Flight Path Planning Algorithms

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