Publications / 2014 Proceedings of the 31st ISARC, Sydney, Australia

Performance Test for Rapid Surface Modeling of DynamicConstruction Equipment from Laser Scanner Data

C. Wang, Y.K. Cho
Pages 134-141 (2014 Proceedings of the 31st ISARC, Sydney, Australia, ISBN 978-0-646-59711-9, ISSN 2413-5844)

In modern dynamic construction fields, more attention has been paid on safely operating heavy construction equipment such as cranes, excavators, and concrete pump. In order to improve the safety in complicated jobsites, it is highly required to provide heavy equipment operators with accurate measurement of on-site objects in near real time. In this paper, a rapid surface modeling method and its performance evaluation through on-site tests are introduced. The performance of the proposed method was tested with a heavy equipment at construction site. The interrelationships among data size, processing time, and the size of the resultant hull segments were examined from the data analyses. The field experimental results demonstrate that the proposed dynamic surface modeling method would significantly improve the equipment operation productivity and safety by distinguishing a dynamic surface model being controlled by the operator from the point cloud of existing static environment in 3D views.

Keywords: Construction equipment, Point cloud, Object recognition, 3D modeling, Safety