2013
DOI: 10.1016/j.aei.2013.01.004
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Geometric modeling of geospatial data for visualization-assisted excavation

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Cited by 31 publications
(22 citation statements)
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“…That is, missing information regarding the accuracy of the estimated location for a particular tag at a specific time. Incorrect object locations might lead to false confidence that is typically counterproductive and sometimes dangerous [47]. For instance, a field crew might be struck by a truck because of the incorrect information regarding the location of the truck and the crew and consequently, the distance between them.…”
Section: Summary Of Limitations In Current Rfid Localization Methodsmentioning
confidence: 98%
“…That is, missing information regarding the accuracy of the estimated location for a particular tag at a specific time. Incorrect object locations might lead to false confidence that is typically counterproductive and sometimes dangerous [47]. For instance, a field crew might be struck by a truck because of the incorrect information regarding the location of the truck and the crew and consequently, the distance between them.…”
Section: Summary Of Limitations In Current Rfid Localization Methodsmentioning
confidence: 98%
“…The current status of utility data is in need of some improvements. Previous researchers highlighted the lack of digital formats [2] and inaccuracy of as-built information [3]. The need for a shared geospatial platform is suggested to be key to handheld AR applications [4], especially with reference to mobile market hardware developments [5].…”
Section: Data Availabilitymentioning
confidence: 99%
“…Other countries such as Singapore have begun to make their infrastructure data more accessible, where various benefits to procurement of such projects are being realized [9] with some direct benefits for quality assurance as well as facilitating visualization methods. Although with increased use of GPS technologies, data collection and storage are beginning to merge [3], interoperability and encapsulation of non-asset data remains a challenge and may affect excavation and space planning practices [10].…”
Section: Data Availabilitymentioning
confidence: 99%
“…The next most common focus was general safety (34.8%), followed by falls (28.3%), and lastly, electrical hazards (13%). Talmaki et al [52] focused on the hazard of striking underground utilities and Lu and Davis [53] discussed the effects of noise on risk perception-the two publications are listed as "other" (4.3%). The categories of struck-by and caught-in are similar hazard types in that they are often caused by corresponding construction activities, especially the operation of heavy equipment such as cranes.…”
Section: Rq4: Hazard Categories Addressed In Vr-mr Systems For Constrmentioning
confidence: 99%