Turkan et al. (2012) proposed a method to update the start and finish dates of each activity using a 3D point cloud and a 3D model integrated with the as-planned schedule. The object-recognition algorithm proposed by Bosch’e et al. (2009) was used to recognize the constructed components. The actual progress on each activity was measured by computing the ratio of actual constructed components to those that were intended to be constructed. These measurements were used to update the start and finish dates of each activity in the developed system. This study demonstrated the potential for automation of updating the start and finish dates for individual activities. However, these updated start and finish dates were not compatible with the ones generated by major project-scheduling software, such as Microsoft Project or Oracle Primavera. Even if they had been compatible, these data would have had low utility for the project unless they had been provided in a form that project managers could easily utilize. To use the data and automate modification of the schedule, it is necessary to consider integration of the process with such project-scheduling software in practice to support the whole process of updating the schedule