Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites

Teizer, Jochen

doi:10.1016/j.aei.2015.03.006

Cited by 139 publications

(65 citation statements)

References 90 publications

(130 reference statements)

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“…Information retrieved from images is widely used for construction management applications such as progress monitoring, productivity analysis, safety management, and facility condition assessment [1][2][3][4][5][6][7]. Advanced monitoring methods essentially involve the object recognition for extracting contextual information.…”

Section: Introductionmentioning

confidence: 99%

Data-driven scene parsing method for recognizing construction site objects in the whole image

Kim

2016

Automation in Construction

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Section: Introductionmentioning

confidence: 99%

Data-driven scene parsing method for recognizing construction site objects in the whole image

Kim

2016

Automation in Construction

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“…Many image processing, computer vision, and geometrical processing techniques are developed that can (1) generate semantically-rich 3D models from collections of overlapping images; (2) manually, semi-automatically, or automatically conduct progress monitoring, surveying, safety inspection, quality monitoring and activity analysis during construction, and (3) streamline condition assessment in existing buildings and infrastructure systems. (Cho et al 2015;Pătrăucean et al 2015;Son et al 2015;Teizer 2015;Yang et al 2015) provide thorough reviews of these techniques. These all methods can be applied to visual data Table 1 The level of autonomy in UAV-based visual data collection for construction performance monitoring and civil infrastructure condition assessment None (Gheisari et al 2014;Irizarry et al 2012;Oskouie et al 2015;Vetrivel 2999;Wen et al 2014;Xie et al 2012;Ye et al 2014) collected from UAVs, yet only a few studies have validated them in such contexts.…”

Section: Visual Data Analyticsmentioning

confidence: 99%

Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works

et al. 2016

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Over the past few years, the application of camera-equipped Unmanned Aerial Vehicles (UAVs) for visually monitoring construction and operation of buildings, bridges, and other types of civil infrastructure systems has exponentially grown. These platforms can frequently survey construction sites, monitor work-in-progress, create documents for safety, and inspect existing structures, particularly for hard-to-reach areas. The purpose of this paper is to provide a concise review of the most recent methods that streamline collection, analysis, visualization, and communication of the visual data captured from these platforms, with and without using Building Information Models (BIM) as a priori information. Specifically, the most relevant works from Civil Engineering, Computer Vision, and Robotics communities are presented and compared in terms of their potential to lead to automatic construction monitoring and civil infrastructure condition assessment.

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“…Several of these technologies have been extensively discussed or experimentally tested by various research groups investigating construction vehicle-worker interactions. A relative large body of research work has been produced to enlarge the industry's knowledge in this domain [5,8,11,15,[18][19][20][21][22][23][24][25][26][28][29][30].…”

Section: Technological Approaches To Alert Workers-on-foot Nearby Equmentioning

confidence: 99%

Safety 360: Surround-View Sensing to Comply with Changesto the ISO 5006 Earth-Moving Machinery - Operator's Fieldof View - Test Method and Performance Criteria

Teizer¹

2015

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Despite recent efforts towards protecting construction personnel from equipment which operates in too close proximity, most of the existing and more advanced accident prevention techniques focus on approaches using sensing technologies. These can alert workers-on-foot or personnel operating the equipment in real-time. The drawbacks that some of these technologies have, however, limits their use in practice as the applications in construction are diverse and the environment is harsh. This article first presents significant safety statistics related to visibilityrelated construction equipment accidents. It introduces a brief but critical review of the existing ISO 5006:2006 standard for earth-moving machinery -operator's field of view -test method and performance criteria. Further, this article comments on a significant change that will soon be implemented in the standard and how equipment manufacturers expect to comply with the modification. Novel equipment design and sensing to provide equipment operators with a surround-view, called here "Safety 360", is introduced and tested to verify that solutions for responding to the expected change in the International Standard -although they are technically challenging -exist. An outlook presents matters that need to be addressed in the future should equipment operation ever become safe.

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Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites

Cited by 139 publications

References 90 publications

Data-driven scene parsing method for recognizing construction site objects in the whole image

Data-driven scene parsing method for recognizing construction site objects in the whole image

Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works

Safety 360: Surround-View Sensing to Comply with Changesto the ISO 5006 Earth-Moving Machinery - Operator's Fieldof View - Test Method and Performance Criteria

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