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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).
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Keywords
- 5G
- IEEE 802.11p
- Mechanical engineering & materials
- Multi Working Machine Pathfinding Algorithm
- Multivariable Time Series Classification Algorithm
- SLAM
- Smart Working Site
- Technology, engineering, agriculture