A crash avoidance framework for heavy equipment control systems using 3D imaging sensors

Chi, Seokho, Caldas, Carlos, & Gong, Jie (2008) A crash avoidance framework for heavy equipment control systems using 3D imaging sensors. Journal of Information Technology in Construction (ITCON), Special Issue on Sensors in Construction and Infrastructure Management, 13, pp. 118-133.

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Abstract

This paper presents a preliminary crash avoidance framework for heavy equipment control systems. Safe equipment operation is a major concern on construction sites since fatal on-site injuries are an industry-wide problem. The proposed framework has potential for effecting active safety for equipment operation. The framework contains algorithms for spatial modeling, object tracking, and path planning. Beyond generating spatial models in fractions of seconds, these algorithms can successfully track objects in an environment and produce a collision-free 3D motion trajectory for equipment.

Impact and interest:

8 citations in Scopus
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Full-text downloads:

339 since deposited on 29 Apr 2011
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ID Code: 41471
Item Type: Journal Article
Refereed: Yes
Keywords: crash avoidance, path planning, spatial modeling, object tracking
ISSN: 1874-4753
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Building Construction Management and Project Planning (120201)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
Copyright Owner: Copyright 2008 Please consult the authors.
Deposited On: 29 Apr 2011 06:45
Last Modified: 30 Apr 2011 13:25

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