Intendierte Lernergebnisse
In this Seminar, the student obtains a basic and broad overview of Machine Learning tools/methods, which are crucially used in several interesting use-cases in the frame of Intelligent Transportation Systems. Furthers, he shall conduct a comprehensive literature review w.r.t. to selected topics or use-cases in the described context.Selected applications fields of ITS in which Machine Learning (AI / Deep Learning) does play a very crucial role are:# Autonomous driving cars# Driver Monitoring Systems# Industry 4.0 in Transportation and Logistics# Cooperative intelligent transportation systems# Social networks impact in/for intelligent mobility systems# Traffic Lights Assistance systems# Analysis of the potential synergy between Electric Vehicles and Smart Electric Grids
Lehrmethodik
GLOBAL PLAN:###########1) Kick-Off Meeting (at Semester begin): introductory presentation, topics selection by the student, brief overview of related papers and documents.2) Intermediate Presentations (weekly): here, students present their mini-seminars outcomes. A related feedback is provided.3) Final presentations: second or last week June.