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).
| Zugehörige Institution(en) am KIT | Institut für Fahrzeugsystemtechnik (FAST) |
| Publikationstyp | Hochschulschrift |
| Publikationsjahr | 2022 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-7315-1165-6 ISSN: 1869-6058 KITopen-ID: 1000143073 |
| Verlag | KIT Scientific Publishing |
| Umfang | XXIV, 254 S. |
| Serie | Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik ; 99 |
| Art der Arbeit | Dissertation |
| Fakultät | Fakultät für Maschinenbau (MACH) |
| Institut | Institut für Fahrzeugsystemtechnik (FAST) |
| Prüfungsdaten | 22.09.2021 |
| Prüfungsdatum | 22.09.2021 |
| Schlagwörter | Smart Working Site, Multi Working Machine Pathfinding Algorithm, Multivariable Time Series Classification Algorithm, SLAM, 5G, IEEE 802.11p |
| Relationen in KITopen | |
| Referent/Betreuer | Geimer, M. |