A biomimicry approach to automating visual road surveys

Ng, S. K. and Carter, S. J. B. and Bullen, Frank (2006) A biomimicry approach to automating visual road surveys. In: 22nd ARRB Conference: Research Into Practice, 29 Oct - 02 Nov 2006, Canberra, Australia.

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Abstract

Road surveys that quickly and efficiently identify features and assess their condition are keystones of an effective road asset management system. Manual visual surveys are subjective and expensive, but it appears that no software package can be flexible enough to cater to all survey needs. However, nature suggests that a generic system design is possible, a parallel being the way in which animals based on the quadruped design fill a wide range of ecological niches. This paper presents a generic design whose common design components are image acquisition, image processing, feature recognition by artificial neural networks, and condition assessment by expert systems. The system can accept either real time camera feed, or video/DVD recordings made by survey vehicles. Biomimicry principles are outlined to guide the designs application to produce a survey system for a given road feature, such as line-markings and road edges. A road guide post survey is presented as a case study.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Authors retain copyright.
Depositing User: ePrints Administrator
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 18 May 2010 11:22
Last Modified: 25 Nov 2013 01:51
Uncontrolled Keywords: pavement performance; pavement evaluation; image processing; data collection; data analysis; road surveys; biomimicry
Fields of Research (FOR2008): 09 Engineering > 0905 Civil Engineering > 090501 Civil Geotechnical Engineering
09 Engineering > 0914 Resources Engineering and Extractive Metallurgy > 091402 Geomechanics and Resources Geotechnical Engineering
URI: http://eprints.usq.edu.au/id/eprint/8135

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