AI and IoT Meet Mobile Machines
Towards a Smart Working Site
Abstract
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).
Keywords
Smart Working Site; Multi Working Machine Pathfinding Algorithm; Multivariable Time Series Classification Algorithm; SLAM; 5G; IEEE 802.11pDOI
10.5445/KSP/1000143073ISBN
9783731511656Publisher
KIT Scientific PublishingPublisher website
https://www.ksp.kit.edu/index.php?link=shop&sort=allPublication date and place
2022Series
Karlsruher Schriftenreihe Fahrzeugsystemtechnik, 7Classification
Mechanical engineering & materials