Towards UAV-based bridge inspection systems: a review and an application perspective

被引:89
|
作者
Chan, Brodie [1 ,2 ]
Guan, Hong [1 ]
Jo, Jun [3 ]
Blumenstein, Michael [3 ]
机构
[1] Griffith Univ, Griffith Sch Engn, Gold Coast Campus, Griffith, Qld 4222, Australia
[2] GHD Pty Ltd, Brisbane, Qld 4000, Australia
[3] Griffith Univ, Sch Informat & Commun Technol, Griffith, Qld 4222, Australia
来源
关键词
unmanned aerial vehicle; bridge inspection; condition assessment; bridge asset management;
D O I
10.12989/smm.2015.2.3.283
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Visual condition inspections remain paramount to assessing the current deterioration status of a bridge and assigning remediation or maintenance tasks so as to ensure the ongoing serviceability of the structure. However, in recent years, there has been an increasing backlog of maintenance activities. Existing research reveals that this is attributable to the labour-intensive, subjective and disruptive nature of the current bridge inspection method. Current processes ultimately require lane closures, traffic guidance schemes and inspection equipment. This not only increases the whole-of-life costs of the bridge, but also increases the risk to the travelling public as issues affecting the structural integrity may go unaddressed. As a tool for bridge condition inspections, Unmanned Aerial Vehicles (UAVs) or, drones, offer considerable potential, allowing a bridge to be visually assessed without the need for inspectors to walk across the deck or utilise under-bridge inspection units. With current inspection processes placing additional strain on the existing bridge maintenance resources, the technology has the potential to significantly reduce the overall inspection costs and disruption caused to the travelling public. In addition to this, the use of automated aerial image capture enables engineers to better understand a situation through the 3D spatial context offered by UAV systems. However, the use of UAV for bridge inspection involves a number of critical issues to be resolved, including stability and accuracy of control, and safety to people. SLAM (Simultaneous Localisation and Mapping) is a technique that could be used by a UAV to build a map of the bridge underneath, while simultaneously determining its location on the constructed map. While there are considerable economic and risk-related benefits created through introducing entirely new ways of inspecting bridges and visualising information, there also remain hindrances to the wider deployment of UAVs. This study is to provide a context for use of UAVs for conducting visual bridge inspections, in addition to addressing the obstacles that are required to be overcome in order for the technology to be integrated into current practice.
引用
收藏
页码:283 / 300
页数:18
相关论文
共 50 条
  • [1] UAV-Based Bridge Inspection via Transfer Learning
    Aliyari, Mostafa
    Droguett, Enrique Lopez
    Ayele, Yonas Zewdu
    [J]. SUSTAINABILITY, 2021, 13 (20)
  • [2] A UAV-BASED CRACK INSPECTION SYSTEM FOR CONCRETE BRIDGE MONITORING
    Yu, Huai
    Yang, Wen
    Zhang, Heng
    He, Wanjun
    [J]. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 3305 - 3308
  • [3] Tracking bridge condition over time using recurrent UAV-based inspection
    Perry, B. J.
    Guo, Y.
    Atadero, R.
    van de Lindt, J. W.
    [J]. BRIDGE MAINTENANCE, SAFETY, MANAGEMENT, LIFE-CYCLE SUSTAINABILITY AND INNOVATIONS, 2021, : 286 - 291
  • [4] Distortion-Resistant Spherical Visual Odometry for UAV-Based Bridge Inspection
    Pathak, Sarthak
    Moro, Alessandro
    Fujii, Hiromitsu
    Yamashita, Atsushi
    Asama, Hajime
    [J]. INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT) 2019, 2019, 11049
  • [5] The Application Research of UAV-based LiDAR System for Power Line Inspection
    Zhang, Wei
    Wu, Xinqiao
    Zhang, Guifeng
    Ke, Lei
    Chen, Liming
    Chen, Xiao
    Yang, Hemeng
    Qiao, Xiaoming
    Zhou, Yi
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING, INFORMATION SCIENCE & APPLICATION TECHNOLOGY (ICCIA 2017), 2017, 74 : 962 - 966
  • [6] Blur the Eyes of UAV: Effective Attacks on UAV-based Infrastructure Inspection
    Raja, Ashok
    Njilla, Laurent
    Yuan, Jiawei
    [J]. 2021 IEEE 33RD INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2021), 2021, : 661 - 665
  • [7] Diagnosis of composite materials in aircraft applications: towards a UAV-based active thermography inspection approach
    Alhammad, M.
    Avdelidis, N. P.
    Deane, S.
    Ibarra-Castanedo, C.
    Pant, S.
    Nooralishahi, P.
    Ahmadi, M.
    Genest, M.
    Zolotas, A.
    Zanotti-Fragonara, L.
    Valdes, J.
    Maldague, X. P., V
    [J]. THERMOSENSE: THERMAL INFRARED APPLICATIONS XLIII, 2021, 11743
  • [8] Visible defects detection based on UAV-based inspection in large-scale photovoltaic systems
    Li, Xiaoxia
    Yang, Qiang
    Chen, Zhebo
    Luo, Xuejing
    Yan, Wenjun
    [J]. IET RENEWABLE POWER GENERATION, 2017, 11 (10) : 1234 - 1244
  • [9] Towards Trusted and Efficient UAV-Based Communication
    Mohammed, Farhan
    Jawhar, Imad
    Mohamed, Nader
    Idries, Ahmed
    [J]. 2016 IEEE 2ND INTERNATIONAL CONFERENCE ON BIG DATA SECURITY ON CLOUD (BIGDATASECURITY), IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING (HPSC), AND IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA AND SECURITY (IDS), 2016, : 388 - 393
  • [10] Missing area detection and damage mapping method based on field-of-view estimation in UAV-based bridge inspection
    Gwon, Gi-Hun
    Yoon, Sungsik
    Lee, Jin Hwan
    Kim, In-Ho
    Jung, Hyung-Jo
    [J]. SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2021, 2021, 11591