User: Guest  Login
Title:

Methodology of Scenario Clustering for Predictive Safety Functions

Document type:
Konferenzbeitrag
Author(s):
Hiroki Watanabe, Tomas Maly, Johannes Wallner, Tobias Dirndorfer, Marcus Mai, Günther Prokop
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...     »
Book / Congress title:
9. Tagung Automatisiertes Fahren
Organization:
Lehrstuhl für Fahrzeugtechnik mit TÜV SÜD Akademie
Date of congress:
21.-22.11.2019
Year:
2019
 BibTeX