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Modelling with Transparent Soils - Visualizing Soil Structure Interaction and Multi Phase Flow, Non-Intrusively (Paperback, 2010 ed.)
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Modelling with Transparent Soils - Visualizing Soil Structure Interaction and Multi Phase Flow, Non-Intrusively (Paperback, 2010 ed.)
Series: Springer Series in Geomechanics and Geoengineering
Expected to ship within 10 - 15 working days
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up with automated systems for assessment of road condition. For
example, Haas et al (1997) developed an automated algorithm for
detecting cracks and joints con- tion. Smith and Lin (1997)
developed a fuzzy logic classification scheme for pavement distress
condition. Oh et al (1997) developed iterative algorithm for
overcoming noisy images of roads due to shadows and low light
conditions. Koustsopoulos and Mishalani (1997) presented a model
for distress assessment in a local (microscopic) and global
(macroscopic) level using captured images of pavement. Lee (1993)
presented a comparison between 15 different imaging al- rithms used
in crack detection. Ground Penetration Radar (GPR) has also been
used for pavement assessment. Special computer algorithms were
developed for quick analysis of GPR data (Adeli & Hung 1993 and
Maser 1996). Heiler and McNeil (1997) proposed a modified system
for analyzing the GPR data using an artificial neural network
(ANN). 2.3.2 Traffic Analysis and Control Currently imaging systems
provide essential data for transportation and traffic engineering
planning (Anon 1999). Machine vision techniques were introduced to
intersection traffic signal control in the late 1970's (Chou and
Sethi 1993). No- days, many systems have been developed all over
the world for traffic analysis and control applications, in
addition to image based systems for traffic violations. Nallamathu
and Wang (1997) developed one of the first automated systems for
license plate recognition using character recognition algorithm for
the use in monitoring violators at toll stations and many other
traffic applications.
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