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Cracks in concrete structures are very common and are an integral part of this heterogeneous material. Characteristics of cracks induced by standardized tests yield valuable information about the tested concrete formulation and its…

Machine Learning · Computer Science 2025-01-31 Anna Nowacka , Katja Schladitz , Szymon Grzesiak , Matthias Pahn

Due to cyclic loading and fatigue stress cracks are generated, which affect the safety of any civil infrastructure. Nowadays machine vision is being used to assist us for appropriate maintenance, monitoring and inspection of concrete…

Computer Vision and Pattern Recognition · Computer Science 2020-09-23 Babloo Kumar , Sayantari Ghosh

Visual-Spatial Systems has become increasingly essential in concrete crack inspection. However, existing methods often lacks adaptability to diverse scenarios, exhibits limited robustness in image-based approaches, and struggles with curved…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Pengru Deng , Jiapeng Yao , Chun Li , Su Wang , Xinrun Li , Varun Ojha , Xuhui He

Effective crack detection is pivotal for the structural health monitoring and inspection of buildings. This task presents a formidable challenge to computer vision techniques due to the inherently subtle nature of cracks, which often…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Sara Shomal Zadeh , Sina Aalipour birgani , Meisam Khorshidi , Farhad Kooban

In this study, we consider the problem of detecting cracks from the image of a concrete surface for automated inspection of infrastructure, such as bridges. Its overall accuracy is determined by how accurately thin cracks with sub-pixel…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Liang Xu , Taro Hatsutani , Xing Liu , Engkarat Techapanurak , Han Zou , Takayuki Okatani

This paper presents a novel algorithm for crack localisation and detection based on visual and tactile analysis via fibre-optics. A finger-shaped sensor based on fibre-optics is employed for the data acquisition to collect data for the…

Robotics · Computer Science 2023-07-14 Francesca Palermo , Bukeikhan Omarali , Changae Oh , Kaspar Althoefer , Ildar Farkhatdinov

Surface cracks in infrastructure can lead to severe deterioration and expensive maintenance if not efficiently repaired. Manual repair methods are labor-intensive, time-consuming, and imprecise. While advancements in robotic perception and…

Robotics · Computer Science 2025-08-13 Joshua Genova , Eric Cabrera , Vedhus Hoskere

Recent years have witnessed many advancements in the applications of 3D textured meshes. As the demand continues to rise, evaluating the perceptual quality of this new type of media content becomes crucial for quality assurance and…

Computer Vision and Pattern Recognition · Computer Science 2024-05-13 Armin Shafiee Sarvestani , Wei Zhou , Zhou Wang

Surface cracks are a very common indicator of potential structural faults. Their early detection and monitoring is an important factor in structural health monitoring. Left untreated, they can grow in size over time and require expensive…

Computer Vision and Pattern Recognition · Computer Science 2022-02-09 Jacob König , Mark Jenkins , Mike Mannion , Peter Barrie , Gordon Morison

Automated pavement crack detection is a challenging task that has been researched for decades due to the complicated pavement conditions in real world. In this paper, a supervised method based on deep learning is proposed, which has the…

Computer Vision and Pattern Recognition · Computer Science 2018-02-08 Zhun Fan , Yuming Wu , Jiewei Lu , Wenji Li

Computer vision for detecting building pathologies has interested researchers for quite some time. Vision-based crack detection is a non-destructive assessment technique, which can be useful especially for Cultural Heritage (CH) where…

Computer Vision and Pattern Recognition · Computer Science 2023-04-03 Panagiotis Agrafiotis , Anastastios Doulamis , Andreas Georgopoulos

Concrete is the standard construction material for buildings, bridges, and roads. As safety plays a central role in the design, monitoring, and maintenance of such constructions, it is important to understand the cracking behavior of…

Computer Vision and Pattern Recognition · Computer Science 2021-12-20 Tin Barisin , Christian Jung , Franziska Müsebeck , Claudia Redenbach , Katja Schladitz

In this paper, we report the world's first infrastructure-guided communication-enhanced road crack detection pipeline that is effective and implementable on passenger vehicles. We first design a customized communication protocol to transmit…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Haosong Xiao , Yamini Ramesh , Rishabh Shukla , Swarat Sarkar , Chaozhe R. He

Crack detection is an important task in computer vision. Despite impressive in-dataset performance, deep learning-based methods still struggle in generalizing to unseen domains. The thin structure property of cracks is usually overlooked by…

Computer Vision and Pattern Recognition · Computer Science 2025-07-24 Zelong Liu , Yuliang Gu , Zhichao Sun , Huachao Zhu , Xin Xiao , Bo Du , Laurent Najman , Yongchao Xu

Surface cracks on buildings, natural walls and underground mine tunnels can indicate serious structural integrity issues that threaten the safety of the structure and people in the environment. Timely detection and monitoring of cracks are…

Computer Vision and Pattern Recognition · Computer Science 2021-11-24 Faris Azhari , Charlotte Sennersten , Michael Milford , Thierry Peynot

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

This paper presents a novel cross-modal visuo-tactile perception framework for the 3D shape reconstruction of deformable linear objects (DLOs), with a specific focus on cables subject to severe visual occlusions. Unlike existing methods…

Robotics · Computer Science 2026-01-21 Raffaele Mazza , Ciro Natale , Pietro Falco

Crack is one of the most common road distresses which may pose road safety hazards. Generally, crack detection is performed by either certified inspectors or structural engineers. This task is, however, time-consuming, subjective and…

Computer Vision and Pattern Recognition · Computer Science 2019-04-19 Rui Fan , Mohammud Junaid Bocus , Yilong Zhu , Jianhao Jiao , Li Wang , Fulong Ma , Shanshan Cheng , Ming Liu

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

Identification of cracks is essential to assess the structural integrity of concrete infrastructure. However, robust crack segmentation remains a challenging task for computer vision systems due to the diverse appearance of concrete…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Achref Jaziri , Martin Mundt , Andres Fernandez Rodriguez , Visvanathan Ramesh
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