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Eric Sax
Eric Sax
Otros nombresProf. Dr.-Ing.
Dirección de correo verificada de kit.edu - Página principal
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Machine learning and deep neural network—Artificial intelligence core for lab and real-world test and validation for ADAS and autonomous vehicles: AI for efficient and quality …
HJ Vishnukumar, B Butting, C Müller, E Sax
2017 intelligent systems conference (IntelliSys), 714-721, 2017
1162017
Model based scenario specification for development and test of automated driving functions
J Bach, S Otten, E Sax
2016 IEEE Intelligent Vehicles Symposium (IV), 1149-1155, 2016
1142016
An overview of automotive service-oriented architectures and implications for security countermeasures
M Rumez, D Grimm, R Kriesten, E Sax
IEEE access 8, 221852-221870, 2020
1042020
Multiparadigm modeling in embedded systems design
KD Muller-Glaser, G Frick, E Sax, M Kuhl
IEEE Transactions on Control Systems Technology 12 (2), 279-292, 2004
802004
Estimating the uniqueness of test scenarios derived from recorded real-world-driving-data using autoencoders
J Langner, J Bach, L Ries, S Otten, M Holzäpfel, E Sax
2018 IEEE Intelligent Vehicles Symposium (IV), 1860-1866, 2018
682018
Automatisiertes Testen Eingebetteter Systeme in der Automobilindustrie
E Sax
Hanser, 2008
682008
Embedded hybrid anomaly detection for automotive CAN communication
M Weber, S Klug, E Sax, B Zimmer
9th European congress on embedded real time software and systems (ERTS 2018), 2018
632018
An empirical study on the current and future challenges of automotive software release and configuration management
H Guissouma, H Klare, E Sax, E Burger
2018 44th Euromicro Conference on Software Engineering and Advanced …, 2018
402018
SceML: A graphical modeling framework for scenario-based testing of autonomous vehicles
B Schütt, T Braun, S Otten, E Sax
Proceedings of the 23rd ACM/IEEE International Conference on Model Driven …, 2020
392020
Data-driven development, a complementing approach for automotive systems engineering
J Bach, J Langner, S Otten, M Holzäpfel, E Sax
2017 IEEE International Systems Engineering Symposium (ISSE), 1-6, 2017
382017
Test scenario selection for system-level verification and validation of geolocation-dependent automotive control systems
J Bach, J Langner, S Otten, E Sax, M Holzäpfel
2017 International Conference on Engineering, Technology and Innovation (ICE …, 2017
362017
A taxonomy and systematic approach for automotive system architectures-from functional chains to functional networks
J Bach, S Otten, E Sax
International Conference on Vehicle Technology and Intelligent Transport …, 2017
362017
Automatic generation of critical test cases for the development of highly automated driving functions
D Baumann, R Pfeffer, E Sax
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-5, 2021
342021
Model-based resource analysis and synthesis of service-oriented automotive software architectures
P Obergfell, S Kugele, E Sax
2019 ACM/IEEE 22nd International Conference on Model Driven Engineering …, 2019
312019
Logical Scenario Derivation by Clustering Dynamic-Length-Segments Extracted from Real-World-Driving-Data.
J Langner, H Grolig, S Otten, M Holzäpfel, E Sax
VEHITS, 458-467, 2019
282019
Reactive-replay approach for verification and validation of closed-loop control systems in early development
J Bach, M Holzäpfel, S Otten, E Sax
SAE Technical Paper, 2017
282017
A taxonomy for quality in simulation-based development and testing of automated driving systems
B Schütt, M Steimle, B Kramer, D Behnecke, E Sax
IEEE Access 10, 18631-18644, 2022
272022
Context-aware security for vehicles and fleets: A survey
D Grimm, M Stang, E Sax
IEEE Access 9, 101809-101846, 2021
252021
A taxonomy and survey on validation approaches for automated driving systems
C King, L Ries, J Langner, E Sax
2020 IEEE International Symposium on Systems Engineering (ISSE), 1-8, 2020
232020
A survey on the state and future of automotive software release and configuration management
E Sax, R Reussner, H Guissouma, H Klare
KIT, 2017
232017
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