Intelligent Computing and Sensing for Active Safety on Construction Sites

  • Carlos H. Caldas
  • Seokho Chi
  • Jochen Teizer
  • Jie Gong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4200)


On obstacle-cluttered construction sites where heavy equipment is in use, safety issues are of major concern. The main objective of this paper is to develop a framework with algorithms for obstacle avoidance and path planning based on real-time three-dimensional job site models to improve safety during equipment operation. These algorithms have the potential to prevent collisions between heavy equipment vehicles and other on-site objects. In this study, algorithms were developed for image data acquisition, real-time 3D spatial modeling, obstacle avoidance, and shortest path finding and were all integrated to construct a comprehensive collision-free path. Preliminary research results show that the proposed approach is feasible and has the potential to be used as an active safety feature for heavy equipment.


Path Planning Obstacle Avoidance Autonomous Vehicle Occupancy Grid Path Planning Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Carlos H. Caldas
    • 1
  • Seokho Chi
    • 1
  • Jochen Teizer
    • 1
  • Jie Gong
    • 1
  1. 1.Dept. of Civil, Architectural and Environmental EngineeringThe University of TexasAustinUSA

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