ITcon Vol. 13, pg. 118-133, http://www.itcon.org/2008/9

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

submitted:May 2007
revised:September 2007
published:April 2008
editor(s):Akinci, B; Anumba, C
authors:Seokho Chi, Ph.D. Candidate
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, USA
email: shchi@mail.utexas.edu

Carlos Caldas, Assistant Professor
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, USA
email: caldas@mail.utexas.edu

Jie Gong, Ph.D. Candidate
Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, USA
email: jie.gong@mail.utexas.edu
summary: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.
keywords:crash avoidance, path planning, spatial modeling, object tracking
full text: (PDF file, 0.35 MB)
citation:Chi S, Caldas C, Gong J (2008). A crash avoidance framework for heavy equipment control systems using 3D imaging sensors, ITcon Vol. 13, Special issue Sensors in Construction and Infrastructure Management, pg. 118-133, http://www.itcon.org/2008/9