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

Seokho Chi, Carlos Caldas, Jie Gong

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)118-133
Number of pages16
JournalElectronic Journal of Information Technology in Construction
Volume13
StatePublished - Apr 2008
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Computer Science Applications

Keywords

  • Crash avoidance
  • Object tracking
  • Path planning
  • Spatial modeling

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