DocumentCode :
2059227
Title :
Autonomous robotic system for high-efficiency non-destructive bridge deck inspection and evaluation
Author :
La, Hung M. ; Lim, Ronny Salim ; Basily, Basily ; Gucunski, Nenad ; Jingang Yi ; Maher, Ahmed ; Romero, Francisco A. ; Parvardeh, Hooman
Author_Institution :
Center for Adv. Infrastruct. & Transp. (CAIT), Rutgers Univ., Piscataway, NJ, USA
fYear :
2013
fDate :
17-20 Aug. 2013
Firstpage :
1053
Lastpage :
1058
Abstract :
Bridges are one of the critical civil infrastructure for safety of traveling public. The conditions of bridges deteriorate with time as a result of material aging, excessive loading, and inadequate maintenance, etc. In this paper, the development of an autonomous robotic system is presented for highly-efficient bridge deck inspection and evaluation. An autonomous mobile robot is used as a platform to carry various non-destructive evaluation (NDE) sensing systems for simultaneous and fast data collection. Besides the NDE sensors, the robot is also equipped with various onboard navigation sensors. A sensing integration scheme is presented for high-accuracy robot localization and navigation. The effectiveness of the autonomous robotic NDE system is demonstrated through extensive experiments and field deployments.
Keywords :
bridges (structures); condition monitoring; inspection; mobile robots; nondestructive testing; path planning; structural engineering; telerobotics; NDE sensing systems; NDE sensors; autonomous mobile robot; autonomous robotic NDE system; critical civil infrastructure; high-accuracy robot localization; high-accuracy robot navigation; high-efficiency nondestructive bridge deck evaluation; high-efficiency nondestructive bridge deck inspection; onboard navigation sensors; sensing integration scheme; simultaneous data collection; Bridges; Global Positioning System; Robot kinematics; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2013 IEEE International Conference on
Conference_Location :
Madison, WI
ISSN :
2161-8070
Type :
conf
DOI :
10.1109/CoASE.2013.6653886
Filename :
6653886
Link To Document :
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