Distortion-Free Image Mosaicing for Tunnel Inspection Based on Robust Cylindrical Surface Estimation through Structure from Motion

Chaiyasarn, Krisada; Kim, Taekyun; Viola, Fabio; Cipolla, Roberto; Soga, Kenichi

doi:10.1061/(asce)cp.1943-5487.0000516

Cited by 49 publications

(39 citation statements)

References 38 publications

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“…It can simultaneously cope with free camera motion and more complex geometry of the scene. Figure 21.6 shows a 3D reconstruction of tunnels using digital images (Chaiyasarn 2011;Chaiyasarn et al 2015). The accuracy is becoming close to that of a traditional laser scanning method.…”

Section: Computer Vision For Extreme Event Assessmentmentioning

confidence: 81%

Innovation in Instrumentation, Monitoring, and Condition Assessment of Infrastructure

Soga

2016

Multi-Hazard Approaches to Civil Infrastructure Engineering

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Future-proofing our existing and new infrastructure has become a constant theme in government and industry discussions. To achieve this, we need to understand the performance of our infrastructure better than before both during its construction and throughout its design life. Using recent advances in sensor systems and new technologies from the Internet of Things (IoT), it is hypothesized in this chapter that the rich information obtained from embedded sensors within infrastructure will allow us to develop a new paradigm in designing, constructing, operating, and maintaining our infrastructure systems. The chapter discusses the potential value of sensing not only to understand the behavior of monitored structures but also to make better decisions for management of infrastructure at the asset and city scales with a whole lifecycle-based thinking. New generations of sensor systems that satisfy these new requirements are introduced. IntroductionFuture-proofing our existing and new infrastructure has become a constant theme in government and industry discussions. We face with the fact that our old infrastructure continues to age and require monitoring and remedial interventions. Existing infrastructure is challenged by the need to increase load and usage and the requirement to maintain the existing infrastructure while operating at current capacity. The high cost involved in upgrading will lead to a desire to extend their life. For this reason, a need for better quality asset data to improve decision-making and reduce cost has been highlighted (e.g., HM Treasury 2014).Active monitoring of the construction and operational processes of infrastructure is essential. That is, structures are instrumented to assess their performance against engineering design parameters or predictive models. The current monitoring systems do not fit well with this demand, especially for the long-term behavior.

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Section: Computer Vision For Extreme Event Assessmentmentioning

confidence: 81%

Innovation in Instrumentation, Monitoring, and Condition Assessment of Infrastructure

Soga

2016

Multi-Hazard Approaches to Civil Infrastructure Engineering

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“…The method presented by Chaiyasarn et al. (, ) is based on monocular vision, which is more flexible during fieldwork. Such method can attach augmented reality to enhance the visualizations after the inspection (Carozza et al., ), but the postprocessing restricts its general use.…”

Section: Introductionmentioning

confidence: 99%

“…The second approach is tunnel scanning, which involves drawing the indoor layout plan based on a tunnel scan image taken by a tunnel scanner (Amberg Technologies, 2015;Keisokukensa Co. Ltd., 2015;Spacetec, 2015). The third approach is image mosaicking, which involves warping and mosaicking the photographs of tunnel lining, taken using hand-held cameras, into a layout panorama (Chaiyasarn et al, 2009(Chaiyasarn et al, , 2015Lee et al, 2013;Zhu et al, 2014). Both tunnel scanning and image mosaicking can provide a layout panorama; thus, digital image processing and computer vision-based technology (Nishikawa et al, 2012;Stent et al, 2013;Zalama et al, 2014;Yeum and Dyke, 2015) can be used to subsequently identify the anomalies and changes.…”

Section: Introductionmentioning

confidence: 99%

Panoramic Image Stitching for Arbitrarily Shaped Tunnel Lining Inspection

Zhu

Yang

et al. 2016

Computer aided Civil Eng

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This article presents a low‐cost panoramic image stitching system for tunnel lining inspection. The system can produce a high‐quality layout panorama of the target lining using photographs taken freely in a tunnel with a hand‐held camera and the tunnel design information as inputs. The three‐dimensional (3D) freeform shape corresponding to the tunnel design geometry is used as the warping surface for photograph rectification. A newly designed random sample consensus algorithm is used to estimate the freeform tunnel shape from the 3D reconstructed point cloud, which can perform the registration between point sets with different sizes. These processes can make full use of the geometry information of a real tunnel and the reconstructed scene; thus, the photographs can be precisely rectified, and a planar motion stitching can composite them together. Two field applications demonstrate that the system can create a tunnel layout panorama with sufficient accuracy in tunnel lining inspection and that it is applicable to noncircular‐shaped tunnels.

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“…This process is commonly referred to as image registration, which involves transforming image sets from varying and unknown coordinate systems into one single coordinate system (e.g. [24]). …”

Section: Computer Visionmentioning

confidence: 99%

Infrastructure sensing

Soga

Schooling

2016

Interface Focus.

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One contribution of 8 to a theme issue 'Sensors in technology and nature'. Design, construction, maintenance and upgrading of civil engineering infrastructure requires fresh thinking to minimize use of materials, energy and labour. This can only be achieved by understanding the performance of the infrastructure, both during its construction and throughout its design life, through innovative monitoring. Advances in sensor systems offer intriguing possibilities to radically alter methods of condition assessment and monitoring of infrastructure. In this paper, it is hypothesized that the future of infrastructure relies on smarter information; the rich information obtained from embedded sensors within infrastructure will act as a catalyst for new design, construction, operation and maintenance processes for integrated infrastructure systems linked directly with user behaviour patterns. Some examples of emerging sensor technologies for infrastructure sensing are given. They include distributed fibre-optics sensors, computer vision, wireless sensor networks, low-power micro-electromechanical systems, energy harvesting and citizens as sensors.

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Distortion-Free Image Mosaicing for Tunnel Inspection Based on Robust Cylindrical Surface Estimation through Structure from Motion

Cited by 49 publications

References 38 publications

Innovation in Instrumentation, Monitoring, and Condition Assessment of Infrastructure

Innovation in Instrumentation, Monitoring, and Condition Assessment of Infrastructure

Panoramic Image Stitching for Arbitrarily Shaped Tunnel Lining Inspection

Infrastructure sensing

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