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Related papers: Vision-based Automated Bridge Component Recognitio…

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Image data has a great potential of helping post-earthquake visual inspections of civil engineering structures due to the ease of data acquisition and the advantages in capturing visual information. A variety of techniques have been applied…

Computer Vision and Pattern Recognition · Computer Science 2018-05-17 Yasutaka Narazaki , Vedhus Hoskere , Tu A. Hoang , Billie F. Spencer

This paper investigates the automated recognition of structural bridge components using video data. Although understanding video data for structural inspections is straightforward for human inspectors, the implementation of the same task…

Computer Vision and Pattern Recognition · Computer Science 2018-10-01 Yasutaka Narazaki , Vedhus Hoskere , Tu A. Hoang , Billie F. Spencer

Computer vision-based damage detection using remote cameras and unmanned aerial vehicles (UAVs) enables efficient and low-cost bridge health monitoring that reduces labor costs and the needs for sensor installation and maintenance. By…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Jingxiao Liu , Yujie Wei , Bingqing Chen , Hae Young Noh

Bridge inspection is an important step in preserving and rehabilitating transportation infrastructure for extending their service lives. The advancement of mobile robotic technology allows the rapid collection of a large amount of…

Computer Vision and Pattern Recognition · Computer Science 2021-09-15 Muhammad Monjurul Karim , Ruwen Qin , Zhaozheng Yin , Genda Chen

Automating the current bridge visual inspection practices using drones and image processing techniques is a prominent way to make these inspections more effective, robust, and less expensive. In this paper, we investigate the development of…

Computer Vision and Pattern Recognition · Computer Science 2025-01-28 Andrii Kompanets , Gautam Pai , Remco Duits , Davide Leonetti , Bert Snijder

Aerial robots such as drones have been leveraged to perform bridge inspections. Inspection images with both recognizable structural elements and apparent surface defects can be collected by onboard cameras to provide valuable information…

Computer Vision and Pattern Recognition · Computer Science 2022-09-07 Chenyu Zhang , Muhammad Monjurul Karim , Zhaozheng Yin , Ruwen Qin

Detecting concrete surface damages is a vital task for maintaining the structural health and reliability of highway bridges. Currently, most of these tasks are conducted manually which could be cumbersome and time-consuming. Recent rapid…

Computers and Society · Computer Science 2019-02-26 Chaobo Zhang , C. C. Chang , Maziar Jamshidi

Efficient inspection and accurate diagnosis are required for civil infrastructures with 50 years since completion. Especially in municipalities, the shortage of technical staff and budget constraints on repair expenses have become a…

Computer Vision and Pattern Recognition · Computer Science 2020-05-20 Takato Yasuno , Nakajima Michihiro , Noda Kazuhiro

In Japan, civil infrastructure condition monitoring is mandated through visual inspection every five years. Field-captured damage images frequently contain concrete cracks and rebar exposure, often accompanied by construction signs…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Takato Yasuno

Recognizing a traffic accident is an essential part of any autonomous driving or road monitoring system. An accident can appear in a wide variety of forms, and understanding what type of accident is taking place may be useful to prevent it…

Computer Vision and Pattern Recognition · Computer Science 2025-01-10 Aaron Lohner , Francesco Compagno , Jonathan Francis , Alessandro Oltramari

The vast network of bridges in the United States raises a high requirement for maintenance and rehabilitation. The massive cost of manual visual inspection to assess bridge conditions is a burden to some extent. Advanced robots have been…

Computer Vision and Pattern Recognition · Computer Science 2022-10-31 Chenyu Zhang , Muhammad Monjurul Karim , Ruwen Qin

Safety-critical infrastructures, such as bridges, are periodically inspected to check for existing damage, such as fatigue cracks and corrosion, and to guarantee the safe use of the infrastructure. Visual inspection is the most frequent…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Andrii Kompanets , Remco Duits , Davide Leonetti , Nicky van den Berg , H. H. , Snijder

Efficiently monitoring the condition of civil infrastructure requires automating the structural condition assessment in visual inspection. This paper proposes an Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for automatic…

Computer Vision and Pattern Recognition · Computer Science 2024-01-12 Chenyu Zhang , Zhaozheng Yin , Ruwen Qin

Visual inspection is predominantly used to evaluate the state of civil structures, but recent developments in unmanned aerial vehicles (UAVs) and artificial intelligence have increased the speed, safety, and reliability of the inspection…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Kareem Eltouny , Seyedomid Sajedi , Xiao Liang

Bridges are an essential part of the transportation infrastructure and need to be monitored periodically. Visual inspections by dedicated teams have been one of the primary tools in structural health monitoring (SHM) of bridge structures.…

Computer Vision and Pattern Recognition · Computer Science 2019-05-24 Seyed Omid Sajedi , Xiao Liang

Reliably identifying reinforced concrete defects (RCDs)plays a crucial role in assessing the structural integrity, traffic safety, and long-term durability of concrete bridges, which represent the most common bridge type worldwide.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-04 Johannes Flotzinger , Philipp J. Rösch , Thomas Braml

The National Bridge Inspection Standards require detailed element-level bridge inspections. Traditionally, inspectors manually assign condition ratings by rating structural components based on damage, but this process is labor-intensive and…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Asad Ur Rahman , Vedhus Hoskere

Current methods of practice for inspection of civil infrastructure typically involve visual assessments conducted manually by trained inspectors. For post-earthquake structural inspections, the number of structures to be inspected often far…

Computer Vision and Pattern Recognition · Computer Science 2018-05-04 Vedhus Hoskere , Yasutaka Narazaki , Tu Hoang , BillieF Spencer

As a common appearance defect of concrete bridges, cracks are important indices for bridge structure health assessment. Although there has been much research on crack identification, research on the evolution mechanism of bridge cracks is…

Machine Learning · Computer Science 2022-12-29 Di Wang , Simon X. Yang

Critical infrastructure, such as transport networks and bridges, are systematically targeted during wars and suffer damage during extensive natural disasters because it is vital for enabling connectivity and transportation of people and…

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