Infrastructure construction is society's cornerstone and economics' catalyst. Therefore, improving mobile machinery's efficiency and reducing their cost of use have enormous economic benefits in the vast and growing construction market. In this thesis, I envision a novel concept smart working site to increase productivity through fleet management from multiple aspects and with Artificial Intelligence (AI) and Internet of Things (IoT).
Yusheng Xiang
Smart Working Site Multi Working Machine Pathfinding Algorithm Multivariable Time Series Classification Algorithm SLAM 5G IEEE 802.11p