BauML

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Driver-assistance systems have a high potential for increasing the overall efficiency in the operation of construction machinery. The research project BauML tries to tap into this potential by using methods of artificial intelligence. The core approach is to use machine learning to extract expert knowledge of experienced vehicle operators and make it afterwards available to operators in the form of assistance systems. For this purpose, historical machine data from tunnel boring machines and simulation-based synthetic data are used for data analysis.

Keyfacts
Funding Body
Arbeitsgemeinschaft industrieller Forschungsvereinigungen (AiF)
Project Holder
Forschungskuratorium Maschinenbau (FKM)
Project Partners
Institute for Machine Elements and Systems Engineering (iMSE in RWTH Aachen)
Project Duration
01.06.2020 – 31.11.2022
Room
D 2.09
Phone
+49 241 80 91144

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