2006
DOI: 10.3141/1974-14
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Experimental Evaluation of a Pavement Imaging System: Florida Department of Transportation's Multipurpose Survey Vehicle

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Cited by 10 publications
(7 citation statements)
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“…(2) The second, GaMM, of families (4) and (5), is based on the advantage of multiscale analysis and local modelling of the crack.…”
Section: Proposed and Compared Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…(2) The second, GaMM, of families (4) and (5), is based on the advantage of multiscale analysis and local modelling of the crack.…”
Section: Proposed and Compared Methodsmentioning
confidence: 99%
“…Nowadays, many acquisition systems are available [3,4], see Table 1 (interested readers can find details about the evaluation of such systems in [5,6]). Moreover, to the best of our knowledge, many methods for semiautomatic detection of road defects can be found in the literature but only one is commercialized (by INO 2 ).…”
Section: Introductionmentioning
confidence: 99%
“…In practice, many DOTs review the quality of their pavement condition data both during and after data collection (7,12). For instance, many DOTs check the final database for out-of-range or missing data and perform sampling checks of distress ratings (9).The study presented in this paper focused on detecting errors in network-level pavement condition data that had already been collected and stored in the databases of a pavement management system.…”
Section: Overview Of Previous Workmentioning
confidence: 99%
“…To determine whether the cameras (a key component of the hardware system) are working correctly, the effects of lighting conditions, shadows, reference synchronization, vehicle speed, and other related factors, need to be checked before the vendor starts the field services. It has been recognized that image quality is significantly influenced by the lighting conditions on both asphalt and Portland cement concrete pavements, in both semi-and fully-automated systems (e.g., Mraz et al, 2006).…”
Section: Equipment Calibrationmentioning
confidence: 99%