A biomimicry approach to automating visual road surveys
Paper
Paper/Presentation Title | A biomimicry approach to automating visual road surveys |
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Presentation Type | Paper |
Authors | Ng, S. K. (Author), Carter, S. J. B. (Author) and Bullen, Frank (Author) |
Journal or Proceedings Title | 22nd ARRB Conference Proceedings |
Number of Pages | 13 |
Year | 2006 |
Place of Publication | Canberra, Australia |
ISBN | 1876592494 |
Conference/Event | 22nd ARRB Conference: Research Into Practice |
Event Details | 22nd ARRB Conference: Research Into Practice Event Date 29 Oct 2006 to end of 02 Nov 2006 Event Location Canberra, Australia |
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. |
Keywords | pavement performance; pavement evaluation; image processing; data collection; data analysis; road surveys; biomimicry |
ANZSRC Field of Research 2020 | 400502. Civil geotechnical engineering |
401902. Geomechanics and resources geotechnical engineering | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Griffith University |
No affiliation | |
University of Tasmania |
https://research.usq.edu.au/item/9zy24/a-biomimicry-approach-to-automating-visual-road-surveys
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