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Johannes Bach
Johannes Bach
Dr. Ing. h.c. F. Porsche AG
Verified email at porsche.de
Title
Cited by
Cited by
Year
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
1032016
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
622018
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
342017
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
342017
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
332017
Reactive-Replay Approach for Verification and Validation of Closed-Loop Control Systems in Early Development
J Bach, M Holzäpfel, S Otten, E Sax
WCX™ 17: SAE World Congress Experience, 2017
272017
Automated assessment and evaluation of digital test drives
S Otten, J Bach, C Wohlfahrt, C King, J Lier, H Schmid, S Schmerler, ...
Advanced Microsystems for Automotive Applications 2017: Smart Systems …, 2018
182018
Control based driving assistant functions’ test using recorded in field data
J Bach, KL Bauer, M Holzäpfel, M Hillenbrand, E Sax
7. Tagung Fahrerassistenzsysteme, 2015
152015
Time Series Segmentation for Driving Scenario Detection with Fully Convolutional Networks.
P Elspas, Y Klose, ST Isele, J Bach, E Sax
VEHITS, 56-64, 2021
142021
Leveraging regular expressions for flexible scenario detection in recorded driving data
P Elspas, J Langner, M Aydinbas, J Bach, E Sax
2020 IEEE International Symposium on Systems Engineering (ISSE), 1-8, 2020
142020
A driving scenario representation for scalable real-data analytics with neural networks
L Ries, J Langner, S Otten, J Bach, E Sax
2019 IEEE Intelligent Vehicles Symposium (IV), 2215-2222, 2019
132019
Methoden und Ansätze für die Entwicklung und den Test prädiktiver Fahrzeugregelungsfunktionen
J Bach
132018
Semantic comparison of driving sequences by adaptation of word embeddings
L Ries, M Stumpf, J Bach, E Sax
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
82020
Framework for using real driving data in automotive feature development and validation
J Langner, J Bach, S Otten, E Sax, M Holzäpfel
8. Tagung Fahrerassistenz, 2017
72017
Classification of Automotive Electric/Electronic Features and the Consequent Hierarchization of the Logical System Architecture: From Functional Chains to Functional Networks
J Bach, S Otten, E Sax
Smart Cities, Green Technologies, and Intelligent Transport Systems: 6th …, 2019
42019
Identifikation von Fahrszenarien während einer virtuellen Testfahrt
C King, J Bach, S Otten, E Sax
Gesellschaft für Informatik, Bonn, 2017
42017
Towards a Scenario Database from Recorded Driving Data with Regular Expressions for Scenario Detection.
P Elspas, J Lindner, M Brosowsky, J Bach, E Sax
VEHITS, 400-409, 2022
32022
Data-Driven Development
J Bach, J Langner, S Otten, M Holzäpfel, E Sax
A Complementing Approach for Automotive Systems Engineering, 2017
22017
Migration des Debeka-Software-Repositorys auf ein RDBMS
J Bach, M Schulze
Geselllschaft für Informatik eV, 2006
22006
Tunable laser light source based on variable optical pulse excitation and method for operating same
T Woggon, S Klinkhammer, S Valouch, J Bach, U Lemmer
US Patent 8,422,529, 2013
2013
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