State Machine Approach for Lane Changing Driving Behavior Recognition

Autor: David, Ruth, Rothe, Sandra, Söffker, Dirk

Publikováno v: Automation
Volume 1
Issue 1
Pages 6-79

Research in understanding human behavior is a growing field within the development of Advanced Driving Assistance Systems (ADASs). In this contribution, a state machine approach is proposed to develop a driving behavior recognition model. The state m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9184a636eb326a9b312760feda893594

Reliable information fusion methods for condition monitoring

Autor: Rothe, Sandra

In vielen Anwendungsbereichen müssen zuverlässige Entscheidungen getroffen werden, um die Sicherheit zu erhöhen, die Funktionalität zu gewährleisten oder Kosten zu senken. Insbesondere im Bereich der Zustandsüberwachung ist die Bewertung von Si

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0478cd7a09e4b9494002d352eace0441
https://duepublico2.uni-due.de/receive/duepublico_mods_00070209

About the reliability of diagnostic statements: fundamentals about detection rates, false alarms, and technical requirements

Autor: Rothe, Sandra, Wirtz, Sebastian Felix, Söffker, Dirk

Publikováno v: Aachen : Institut für Maschinentechnik der Rohstoffindustrie 159-174 (2016).
Tagungsband zum AKIDA 2016 / Nienhaus, Karl (editor)
Tagungsband zum AKIDA 2016 / Nienhaus, Karl (editor)11. Aachen Conference on Maintenance, Machine Diagnstics and Condition Monitoring, AKIDA 2016, Aachen, Germany, 2016-11-15-2016-11-16

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______791::485d20b002bc0c184a35170edd814098

Classifiation of Systems' Health Condition Using the New Adaptive Fuzzy-Based Feature Classification Approach AFFCA in Comparison to a Macro-Data-Based Approach

Autor: Schiffer, Sandra, Rothe, Sandra, Baccar, Dorra, Söffker, Dirk

Publikováno v: Scopus-Elsevier

In this contribution a recently developed new modeling and classification approach to be used with streamed measurement data of industrial processes is applied. This briefly repeated approach can be used for condition-based maintenance or structural

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d7268a744f8e670d278fd5fbeb84e858
https://hal.inria.fr/hal-01020457

Comparison of different information fusion methods using ensemble selection considering Benchmark data.

Autor: Rothe, Sandra, Soffker, Dirk

Publikováno v: 2016 19th International Conference on Information Fusion (FUSION); 2016, p73-78, 6p