4D Point Cloud (4DPC)-driven real-time monitoring of construction mobile cranes

Abstract: However, the existing sensing or monitoring methods have limitations in monitoring mobile cranes on sites. Recently, the advent of 4D point cloud (4DPC) technology with a unique spatial-temporal data structure has shown potential. In this paper, we present a 4DPC monitoring approach, which includes a set of prototype devices and a rule-based object detection method. A proof-of-concept test to monitored the hoisting process of two H-beams in a footbridge construction project. The rule-based object detection method successfully detected the target beams in the collected six-hour 4DPC data.