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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

This article presents a novel framework for performing visual inspection around 3D infrastructures, by establishing a team of fully autonomous Micro Aerial Vehicles (MAVs) with robust localization, planning and perception capabilities. The…

Rapid response to natural disasters such as earthquakes is a crucial element in ensuring the safety of civil infrastructures and minimizing casualties. Traditional manual inspection is labour-intensive, time-consuming, and can be dangerous…

计算机视觉与模式识别 · 计算机科学 2025-03-14 Xiao Pan , Sina Tavasoli , T. Y. Yang , Sina Poorghasem

This paper addresses the problem of crack detection which is essential for health monitoring of built infrastructure. Our approach includes two stages, data collection using unmanned aerial vehicles (UAVs) and crack detection using…

系统与控制 · 计算机科学 2019-01-04 Manh Duong Phung , Van Truong Hoang , Tran Hiep Dinh , Quang Ha

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

Unmanned Aerial Vehicle (UAV) based remote sensing system incorporated with computer vision has demonstrated potential for assisting building construction and in disaster management like damage assessment during earthquakes. The…

Periodical inspection and maintenance of critical infrastructure such as dams, penstocks, and locks are of significant importance to prevent catastrophic failures. Conventional manual inspection methods require inspectors to climb along a…

The task of establishing and maintaining situational awareness in an unknown environment is a critical step to fulfil in a mission related to the field of rescue robotics. Predominantly, the problem of visual inspection of urban structures…

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

The detection of masonry damage is essential for preventing potentially disastrous outcomes. Manual inspection can, however, take a long time and be hazardous to human inspectors. Automation of the inspection process using novel computer…

计算机视觉与模式识别 · 计算机科学 2023-09-01 Elmira Faraji Zonouz , Xiao Pan , Yu-Cheng Hsu , Tony Yang

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

Collapsing of structural buildings has been sighted commonly and the presence of potential faults has proved to be damaging to the buildings, resulting in accidents. It is essential to continuously monitor any building for faults where…

Automatic reconstruction of 3D models from images using multi-view Structure-from-Motion methods has been one of the most fruitful outcomes of computer vision. These advances combined with the growing popularity of Micro Aerial Vehicles as…

机器人学 · 计算机科学 2016-11-15 Shreyansh Daftry , Christof Hoppe , Horst Bischof

Smart Micro Aerial Vehicles (MAVs) have transformed infrastructure inspection by enabling efficient, high-resolution monitoring at various stages of construction, including hard-to-reach areas. Traditional manual operation of drones in…

机器人学 · 计算机科学 2024-08-13 Paoqiang Pan , Kewei Hu , Xiao Huang , Wei Ying , Xiaoxuan Xie , Yue Ma , Naizhong Zhang , Hanwen Kang

Unmanned Aerial Vehicles (UAVs) have recently shown great performance collecting visual data through autonomous exploration and mapping in building inspection. Yet, the number of studies is limited considering the post processing of the…

机器人学 · 计算机科学 2018-08-01 Fatih Kucuksubasi , Arzu Sorguc

Tunnel construction using the drill-and-blast method requires the 3D measurement of the excavation front to evaluate underbreak locations. Considering the inspection and measurement task's safety, cost, and efficiency, deploying lightweight…

机器人学 · 计算机科学 2024-01-17 Zhefan Xu , Baihan Chen , Xiaoyang Zhan , Yumeng Xiu , Christopher Suzuki , Kenji Shimada

An approach is proposed for high resolution 3D reconstruction of an object using a Micro Air Vehicle (MAV). A system is described which autonomously captures images and performs a dense 3D reconstruction via structure from motion with no…

计算机视觉与模式识别 · 计算机科学 2015-06-24 Alexander Popov , Dimitrios Zermas , Nikolaos Papanikolopoulos

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

Despite the technological advancements in the construction and surveying sector, the inspection of salient features like windows in an under-construction or existing building is predominantly a manual process. Moreover, the number of…

计算机视觉与模式识别 · 计算机科学 2023-11-27 Dhruv Patel , Shivani Chepuri , Sarvesh Thakur , K. Harikumar , Ravi Kiran S. , K. Madhava Krishna

Unmanned Aerial Vehicles (UAVs) are transforming infrastructure inspections in the Architecture, Engineering, Construction, and Facility Management (AEC+FM) domain. By synthesizing insights from over 150 studies, this review paper…

计算机视觉与模式识别 · 计算机科学 2026-02-03 Amir Farzin Nikkhah , Dong Chen , Bradford Campbell , Somayeh Asadi , Arsalan Heydarian
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