2019
DOI: 10.29371/2018.3.65
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Lean Project Management using Unmanned Aerial Vehicles

Abstract: Development of a lean and automated progress tracking system is one of the most challenging subjects in the construction industry. Since the current methods depend on individual and manual inspections of the site, they may have various problems. For instance, results include a natural bias since field personnel makes interpretations depending on their educational and expertise level. From the practical point of view, manual data collection and their comparison with construction drawings and schedules are ineff… Show more

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Cited by 2 publications
(3 citation statements)
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“…Visual information from regions that are difficult to access can be easily collected; for example, daily photographs arranged in chronological order make it possible to track changes at a construction site. Therefore, there is the possibility to control the oldest state of the stored information, as all of them are collected in a database [43]. Studies using vision-based technologies for progress monitoring can be grouped into three categories: (i) studies on the generation of as-built 3D models integrated with BIM, (ii) studies using image processing and machine learning methods to monitor the construction progress and (iii) studies using unmanned aerial vehicles for autonomous data collection [44].…”
Section: Cyber-physical Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…Visual information from regions that are difficult to access can be easily collected; for example, daily photographs arranged in chronological order make it possible to track changes at a construction site. Therefore, there is the possibility to control the oldest state of the stored information, as all of them are collected in a database [43]. Studies using vision-based technologies for progress monitoring can be grouped into three categories: (i) studies on the generation of as-built 3D models integrated with BIM, (ii) studies using image processing and machine learning methods to monitor the construction progress and (iii) studies using unmanned aerial vehicles for autonomous data collection [44].…”
Section: Cyber-physical Systemsmentioning
confidence: 99%
“…Additionally, data fusion using overlapping time frames or overlapping location information from multiple sources is possible by matching the same timestamps or locations. In this way, it is possible to validate the geometry of 3D models with geospatial techniques, such as GPS coordinates, and thus perform centimeter-level precision measurements, such as length, area, and volume measurements [43]. These accuracy measurements make it possible to evaluate the amount of work performed and efficiently and accurately identify construction deviations [19].…”
Section: Cyber-physical Systemsmentioning
confidence: 99%
“…Although there is a lack of research about the study of drones' manufacturing and lean manufacturing implementation, drones have proved their ability to cope and be a support in Lean manufacturing implementation projects. Ersoz, et al [14] incorporated the use of UAVs in the construction sector and proved their effectiveness to support continuous improvement, visual control (Jidoka) and sharing of knowledge activity between departments (Worker Involvement), which are some of the lean principles. Tezel and Aziz [15] connected the gap between the utilization of drones and the principles of lean construction.…”
Section: Introductionmentioning
confidence: 99%