Computer vision-based interior construction progress monitoring: A literature review and future research directions

Ekanayake, B. J.; Wong, Johnny; Fini, Alireza Ahmadian Fard; Smith, Peter N.

doi:10.1016/j.autcon.2021.103705

Cited by 87 publications

(61 citation statements)

References 57 publications

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“…Una idea similar tienen Ekanayake et al (58) ya que se presenta un 88% de accidentes que se dan en las obras civiles por la mala orientación e información que se tiene de la seguridad en el trabajo. Muchas veces los trabajos puestos en práctica no van de acuerdo a norma ni la participación de la inteligencia artificial lo que hace más factible la inseguridad, uno de ellos son los defectos estructurales donde se comprobó 130 accidentes por caídas de grúas, en la (Figura 2) se muestra los riesgos que podemos tener por no identificar condiciones y conductas seguras (59) así como las inundaciones que nos muestran el alcance de los eventos naturales por ello se busca la incorporación de redes neuronales mediante un sistema de inferencia neuro para reducir, desastres y así que se emplear un monitoreo del progreso de una obra.…”

Section: Calidad Y Seguridadunclassified

“…Figura 2: A) Ejemplo de comportamiento inseguro, B) planta insegura, (C) defectos estructurales. Fuente (58) Segun Santos et al (60) los investigadores buscan hacer de la industria de la construcción una actividad sostenible, por lo que propone emplear la metodología Building Information Modeling (BIM) para modelar edificaciones y contribuir en las tres dimensiones que son ambiental, económica y social, de la misma manera (61,62) mencionan que un modelado de proyectos de infraestructura da más confianza, mejora el diseño y el proceso constructivo, gracias a ello este…”

Section: Calidad Y Seguridadunclassified

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Una revisión sobre el rol de la inteligencia artificial en la industria de la construcción

Pérez

Peña

Vílchez

2022

inycomp

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En los últimos años las estadísticas sobre la industria de la construcción muestran un crecimiento importante que debemos tener en cuenta, de la misma manera la tecnología hace lo suyo con la creación de inteligencia artificial, es decir la creación de sistemas y máquinas que cumplen un rol importante mejorando el rendimiento, optimizando las labores y el tiempo a diferentes áreas de trabajo en la construcción, sin dejar de lado la capacitación debida para el uso de dicha tecnología. En el presente documento el objetivo es investigar y obtener una comprensión sistemática de la importancia, desafíos y soluciones que ofrece la inteligencia artificial en el mundo de la construcción, para ello se realizó una revisión de 86 artículos debidamente indexados de los últimos 7 años entre 2015 y 2021, los cuales se dividen de la siguiente manera: 39 de ScienceDirect, 24 de ESCOPUS y 23 de EBSCO, documentos en los que señalan la importancia de funcionar la inteligencia artificial y la industria de la construcción, dando buenos resultados en cuanto avance, seguridad, calidad y rendimiento en los trabajos, por lo que se puede concluir que la implementación de tecnología en la construcción es una alternativa potencialmente viable.

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Section: Calidad Y Seguridadunclassified

Una revisión sobre el rol de la inteligencia artificial en la industria de la construcción

Pérez

Peña

Vílchez

2022

inycomp

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“…CV-based CPM has been claimed to digitalize the monitoring and reporting of construction progress [16]; however, an initial literature review revealed that the research in CV-based monitoring of construction progress is scattered in multidisciplinary areas, such as computer science, architecture, construction management and a holistic research focus on the methods and techniques involved throughout the process of the CV-based CPM is missing. This called for an in-depth literature review of CV-based monitoring of construction projects to understand the extent of automation achieved-specifically, the automation of data acquisition (DAQ), information retrieval, progress estimation, and visualization of useful output-because the CV-based monitoring process needs to be automated to be considered a viable alternative to current CPM methods [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…In this study, relevant literary databases including Scopus and Web of Science were utilized to retrieve and analyze useful literature systematically. Accordingly, several review articles have been identified on the application of CV-based tools in automating the CPM [7,16,24]. These review articles provided significant insight into the tools, methods, and applications of CV-based CPM.…”

Section: Introductionmentioning

confidence: 99%

Automated Computer Vision-Based Construction Progress Monitoring: A Systematic Review

2022

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The progress monitoring (PM) of construction projects is an essential aspect of project control that enables the stakeholders to make timely decisions to ensure successful project delivery, but ongoing practices are largely manual and document-centric. However, the integration of technologically advanced tools into construction practices has shown the potential to automate construction PM (CPM) using real-time data collection, analysis, and visualization for effective and timely decision making. In this study, we assess the level of automation achieved through various methods that enable automated computer vision (CV)-based CPM. A detailed literature review is presented, discussing the complete process of CV-based CPM based on the research conducted between 2011 and 2021. The CV-based CPM process comprises four sub-processes: data acquisition, information retrieval, progress estimation, and output visualization. Most techniques encompassing these sub-processes require human intervention to perform the desired tasks, and the inter-connectivity among them is absent. We conclude that CV-based CPM research is centric on resolving technical feasibility studies using image-based processing of site data, which are still experimental and lack connectivity to its applications for construction management. This review highlighted the most efficient techniques involved in the CV-based CPM and accentuated the need for the inter-connectivity between sub-processes for an effective alternative to traditional practices.

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“…Using a tethering power system [7] allows a drone to fly for days, making them a semi-permanent safety system. Furthermore, UAVs are already in use for construction progress monitoring [8] and for both indoor [9] and outdoor environments [10]. One example of construction monitoring using UAVs was shown in the work presented by Wu et al [11], where an UAV equipped with a camera is used for the safety monitoring and analysis of foundation pit construction.…”

Section: Introductionmentioning

confidence: 99%

UAV Obstacle Avoidance Algorithm to Navigate in Dynamic Building Environments

Aldao

González-deSantos

Michinel

et al. 2022

Drones

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In this work, a real-time collision avoidance algorithm was presented for autonomous navigation in the presence of fixed and moving obstacles in building environments. The current implementation is designed for autonomous navigation between waypoints of a predefined flight trajectory that would be performed by an UAV during tasks such as inspections or construction progress monitoring. It uses a simplified geometry generated from a point cloud of the scenario. In addition, it also employs information from 3D sensors to detect and position obstacles such as people or other UAVs, which are not registered in the original cloud. If an obstacle is detected, the algorithm estimates its motion and computes an evasion path considering the geometry of the environment. The method has been successfully tested in different scenarios, offering robust results in all avoidance maneuvers. Execution times were measured, demonstrating that the algorithm is computationally feasible to be implemented onboard an UAV.

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Computer vision-based interior construction progress monitoring: A literature review and future research directions

Cited by 87 publications

References 57 publications

Una revisión sobre el rol de la inteligencia artificial en la industria de la construcción

Una revisión sobre el rol de la inteligencia artificial en la industria de la construcción

Automated Computer Vision-Based Construction Progress Monitoring: A Systematic Review

UAV Obstacle Avoidance Algorithm to Navigate in Dynamic Building Environments

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