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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Hiroki Watanabe, Tomas Maly, Johannes Wallner, Tobias Dirndorfer, Marcus Mai, Günther Prokop 
Titel:
Methodology of Scenario Clustering for Predictive Safety Functions 
Abstract:
Data clustering is recently a common technique to group similar data with certain features. It enables finding the representative in each cluster as well. However, the clustering analysis comprises several challenging tasks, e.g., feature selection, choice among different clustering algorithms, defining the optimal cluster number, clustering with the use of a distance measure dealing with various levels of measurement, cluster validation, and interpretation of results in the end. The objective of...    »
 
Kongress- / Buchtitel:
9. Tagung Automatisiertes Fahren 
Ausrichter der Konferenz:
Lehrstuhl für Fahrzeugtechnik mit TÜV SÜD Akademie 
Datum der Konferenz:
21.-22.11.2019 
Jahr:
2019