Towards the Development of a Complex Structural Inspection System Using Small-Scale Aerial Vehicles and Image Processing

被引:0
作者
Avendano, Juan [1 ]
Otero, L. Daniel [1 ,2 ]
Cosentino, Paul
机构
[1] Florida Inst Technol, Syst Engn, Melbourne, FL 32901 USA
[2] Florida Inst Technol, Civil Engn, Melbourne, FL USA
来源
2013 7TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON 2013) | 2013年
关键词
Structural inspections; Airborne systems; Bridge; High mast lightning poles; System framework;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Inspections of structures such as bridges and high mast lightning (HML) and support poles are crucial to the maintenance and safety of transportation infrastructures. Government agencies rely on inspections to estimate the health of structures and make decisions-such as allocation of human resources and funds to maintain\repair the structures-that significantly affect public safety and costs. This paper describes a work-in-progress towards the development of a highly complex system capable of assisting structural inspectors during the inspection process. The authors present the conceptual design of a complex system capable of acquiring and processing image data of structures in near real-time efficiently and in a cost-effective manner. The completion of this highly complex system requires a robust systems engineering approach that integrates the software engineering, mobile technology, small-scale aerial vehicles, and transportation engineering disciplines.
引用
收藏
页码:420 / 425
页数:6
相关论文
共 9 条
  • [1] Davis Curtis, AIRBORNE HYPERSPECTR
  • [2] Multispectral and hyperspectral remote sensing of alpine snow properties
    Dozier, J
    Painter, TH
    [J]. ANNUAL REVIEW OF EARTH AND PLANETARY SCIENCES, 2004, 32 : 465 - 494
  • [3] HAMMER A, 2007, IM SIGN PROC AN 2007, P262
  • [4] Murphy Robin R., J INTELLIGENT ROBOTI, V64, P77
  • [5] Use of field reflectance data for crop mapping using airborne hyperspectral image
    Nidamanuri, Rama Rao
    Zbell, Bernd
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2011, 66 (05) : 683 - 691
  • [6] Ramos Rosue J.G., 2003, P IEEE, V91
  • [7] Rathinam S, 2007, P AMER CONTR CONF, P2035
  • [8] US Department of Transportation, 2007, SYST ENG INT TRANSP
  • [9] Victores J.G., 2011, AUTOMATION CONSTRUCT, V20