Image-based safety assessment : automated spatial safety risk identification of earthmoving and surface mining activities
Data(s) |
01/03/2012
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Resumo |
This paper presents an automated image‐based safety assessment method for earthmoving and surface mining activities. The literature review revealed the possible causes of accidents on earthmoving operations, investigated the spatial risk factors of these types of accident, and identified spatial data needs for automated safety assessment based on current safety regulations. Image‐based data collection devices and algorithms for safety assessment were then evaluated. Analysis methods and rules for monitoring safety violations were also discussed. The experimental results showed that the safety assessment method collected spatial data using stereo vision cameras, applied object identification and tracking algorithms, and finally utilized identified and tracked object information for safety decision making. |
Formato |
application/pdf |
Identificador | |
Publicador |
American Society of Civil Engineers |
Relação |
http://eprints.qut.edu.au/42093/1/JCEM_CHI_%26_CALDAS_Revised_Manuscript_20110225.pdf DOI:10.1061/(ASCE)CO.1943-7862.0000438 Chi, Seokho & Caldas, Carlos (2012) Image-based safety assessment : automated spatial safety risk identification of earthmoving and surface mining activities. Journal of Construction Engineering and Management, 138(3), pp. 341-351. |
Direitos |
Copyright 2011 ASCE |
Fonte |
Faculty of Built Environment and Engineering; School of Urban Development |
Palavras-Chave | #090502 Construction Engineering #120201 Building Construction Management and Project Planning |
Tipo |
Journal Article |