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Image data has a great potential of helping conventional 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 proposed…

计算机视觉与模式识别 · 计算机科学 2018-05-17 Yasutaka Narazaki , Vedhus Hoskere , Tu A. Hoang , Billie F. Spencer

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…

计算机视觉与模式识别 · 计算机科学 2020-05-20 Takato Yasuno , Nakajima Michihiro , Noda Kazuhiro

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…

计算机视觉与模式识别 · 计算机科学 2025-02-04 Jingxiao Liu , Yujie Wei , Bingqing Chen , Hae Young Noh

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…

计算机与社会 · 计算机科学 2019-02-26 Chaobo Zhang , C. C. Chang , Maziar Jamshidi

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.…

计算机视觉与模式识别 · 计算机科学 2019-05-24 Seyed Omid Sajedi , Xiao Liang

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…

计算机视觉与模式识别 · 计算机科学 2018-05-17 Yasutaka Narazaki , Vedhus Hoskere , Tu A. Hoang , Billie F. Spencer

Automating visual inspection for capturing defects based on civil structures appearance is crucial due to its currently labour-intensive and time-consuming nature. An important aspect of automated inspection is image acquisition, which is…

计算机视觉与模式识别 · 计算机科学 2024-01-31 Zehao Ye , Lucy Lovell , Asaad Faramarzi , Jelena Ninic

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…

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…

计算机视觉与模式识别 · 计算机科学 2024-03-29 Andrii Kompanets , Remco Duits , Davide Leonetti , Nicky van den Berg , H. H. , Snijder

Bridge condition assessment is important to maintain the quality of highway roads for public transport. Bridge deterioration with time is inevitable due to aging material, environmental wear and in some cases, inadequate maintenance.…

机器人学 · 计算机科学 2017-04-18 Tuan Le , Spencer Gibb , Hung Manh La , Logan Falk , Tony Berendsen

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…

计算机视觉与模式识别 · 计算机科学 2024-09-26 Asad Ur Rahman , Vedhus Hoskere

Corrosion, a naturally occurring process leading to the deterioration of metallic materials, demands diligent detection for quality control and the preservation of metal-based objects, especially within industrial contexts. Traditional…

计算机视觉与模式识别 · 计算机科学 2024-04-23 Rui Pimentel de Figueiredo , Stefan Nordborg Eriksen , Ignacio Rodriguez , Simon Bøgh

The threat to safety of aging bridges has been recognized as a critical concern to the general public due to the poor condition of many bridges in the U.S. Currently, the bridge inspection is conducted manually, and it is not efficient to…

机器人学 · 计算机科学 2017-04-26 Hung M. La , Nenad Gucunski , Kristin Dana , Seong-Hoon Kee

Autonomous inspection of underground infrastructure, such as sewer and culvert systems, is critical to public safety and urban sustainability. Although robotic platforms equipped with visual sensors can efficiently detect structural…

计算机视觉与模式识别 · 计算机科学 2026-02-04 Johny J. Lopez , Md Meftahul Ferdaus , Mahdi Abdelguerfi

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…

计算机视觉与模式识别 · 计算机科学 2023-08-08 Kareem Eltouny , Seyedomid Sajedi , Xiao Liang

This research assesses the performance of two deep learning models, SAM and U-Net, for detecting cracks in concrete structures. The results indicate that each model has its own strengths and limitations for detecting different types of…

The usage of Unmanned Aerial Vehicles (UAVs) in the context of structural health inspection is recently gaining tremendous popularity. Camera mounted UAVs enable the fast acquisition of a large number of images often used for mapping, 3D…

计算机视觉与模式识别 · 计算机科学 2021-10-12 Alon Oring

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…

计算机视觉与模式识别 · 计算机科学 2021-09-15 Muhammad Monjurul Karim , Ruwen Qin , Zhaozheng Yin , Genda Chen

This paper presents visual and 3D structure inspection for steel structures and bridges using a developed climbing robot. The robot can move freely on a steel surface, carry sensors, collect data and then send to the ground station in real…

机器人学 · 计算机科学 2017-05-16 Hung M. La

Anomaly object detection and classification are one of the main challenging tasks in computer vision and pattern recognition. In this paper, we propose a new method to automatically detect, localize and classify defects in concrete bridge…

计算机视觉与模式识别 · 计算机科学 2025-11-19 Loucif Hebbache , Dariush Amirkhani , Mohand Saïd Allili , Jean-François Lapointe
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