| 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 | 114 | 2016 |
| 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 | 68 | 2018 |
| 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 | 38 | 2017 |
| 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 | 36 | 2017 |
| 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 | 36 | 2017 |
| 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 | 28 | 2017 |
| 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 | 18 | 2018 |
| 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 | 16 | 2021 |
| 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 | 16 | 2020 |
| 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 | 16 | 2019 |
| 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 | 15 | 2015 |
| Methoden und Ansätze für die Entwicklung und den Test prädiktiver Fahrzeugregelungsfunktionen J Bach | 14 | 2018 |
| 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 | 9 | 2020 |
| 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 | 7 | 2017 |
| 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 | 5 | 2022 |
| 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 | 4 | 2019 |
| Identifikation von Fahrszenarien während einer virtuellen Testfahrt C King, J Bach, S Otten, E Sax Gesellschaft für Informatik, Bonn, 2017 | 4 | 2017 |
| Data-Driven Development J Bach, J Langner, S Otten, M Holzäpfel, E Sax A Complementing Approach for Automotive Systems Engineering, 2017 | 2 | 2017 |
| Migration des Debeka-Software-Repositorys auf ein RDBMS J Bach, M Schulze Geselllschaft für Informatik eV, 2006 | 2 | 2006 |
| 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 |
