Autonomous and Continuous As-is 3D Thermal Mapping for Construction Environments

Thermal Point Clouds (TPCs) can provide valuable information during the inspection and assessment of the performance of buildings and for energy auditing; however, it faces two issues regarding data: scanning time and redundancy optimization. The use of continuous and discrete scanning paths can decrease collection times, and the automation of the process can optimize data redundancy and accuracy. However, the current state of the art lacks systems that perform autonomously over a continuous path. This study presents a platform for the continuous and automated generation of TPCs that improves real-time scan quality evaluations and path optimization.