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Johannes Bach
Johannes Bach
Dr. Ing. h.c. F. Porsche AG
Bestätigte E-Mail-Adresse bei porsche.de
Titel
Zitiert von
Zitiert von
Jahr
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
612018
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
122018
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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