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 | 28 | 2021 |
Automated driving-challenges for the automotive industry in product development with focus on process models and organizational structure R Pfeffer, GN Basedow, NR Thiesen, M Spadinger, A Albers, E Sax 2019 IEEE International Systems Conference (SysCon), 1-6, 2019 | 17 | 2019 |
Continuous development of highly automated driving functions with vehicle-in-the-loop using the example of Euro NCAP scenarios R Pfeffer, T Leichsenring Simulation and Testing for Vehicle Technology: 7th Conference, Berlin, May …, 2016 | 16 | 2016 |
Szenariobasierte simulationsgestützte funktionale Absicherung hochautomatisierter Fahrfunktionen durch Nutzung von Realdaten R Pfeffer KIT-Fakultät für Elektrotechnik und Informationstechnik des Karlsruher …, 2020 | 14 | 2020 |
Video injection methods in a real-world vehicle for increasing test efficiency R Pfeffer, M Haselhoff ATZ worldwide 118 (7), 44-49, 2016 | 12 | 2016 |
Trade-off analysis using synthetic training data for neural networks in the automotive development process R Pfeffer, K Bredow, E Sax 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4115-4120, 2019 | 7 | 2019 |
Development and Implementation of a Concept for the Meta Description of Highway Driving Scenarios with Focus on Interactions of Road Users. R Pfeffer, J He, E Sax VEHITS, 440-447, 2020 | 4 | 2020 |
Realdatenbasierte simulationsgestützte absicherung hochautomatisierter fahrfunktionen R Pfeffer, E Sax, S Schmidt ATZelektronik 14 (11), 24-29, 2019 | 3 | 2019 |
Real data based validation of highly automated driving functions using simulation methods R Pfeffer, E Sax, S Schmidt ATZelectronics worldwide 14 (11), 24-29, 2019 | 3 | 2019 |
Potential of virtual test environments for the development of highly automated driving functions using neural networks R Pfeffer, P Ukas, E Sax 4. Internationale ATZ-Tagung Fahrerassistenzsysteme, 2018 | 3 | 2018 |
Durchgängige entwicklungsmethoden ermöglichen effizientere testabdeckung R Pfeffer ATZextra 27 (1), 12-17, 2022 | 2 | 2022 |
Anwendung von clusteringverfahren für die extraktion und reduktion von testfällen aus aufgezeichneten fahrszenarien R Pfeffer, F Pistorius, E Sax Commercial Vehicle Technology 2020/2021: Proceedings of the 6th Commercial …, 2021 | 2 | 2021 |
Vehicle-in-the-Loop as a method to tangibly experience active safety systems at an early stage RJ Pfeffer, T Leichsenring, S Schwab FAST-zero'15: 3rd International Symposium on Future Active Safety Technology …, 2015 | 2 | 2015 |
Intelligent and Continuous Test Generation for Highly Automated Driving R Pfeffer, M Hefenbrock ATZelectronics worldwide 17 (9), 8-13, 2022 | 1 | 2022 |
Artificial intelligence in the development of autonomous driving functions N Ahn, R Pfeffer ATZ worldwide 121 (12), 42-45, 2019 | 1 | 2019 |
Training and validation of neural networks in virtual environments R Pfeffer Automatisiertes Fahren 2019: Von der Fahrerassistenz zum autonomen Fahren 5 …, 2019 | 1 | 2019 |
Einspeisen von Videodaten in ein reales Fahrzeug für effizientere Testverfahren R Pfeffer, M Haselhoff ATZ-Automobiltechnische Zeitschrift 118 (7), 48-53, 2016 | 1 | 2016 |
Seamless Tool Chain for Testing Camera-based Advanced Driver Assistance Systems R Pfeffer, S Schmidt ATZelektronik worldwide 10 (6), 48-53, 2015 | 1 | 2015 |
Durchgängige Werkzeugkette zum Testen kamerabasierter Fahrerassistenzsysteme R Pfeffer, S Schmidt ATZelektronik 10 (6), 74-79, 2015 | 1 | 2015 |
Effiziente Fehlerratenbestimmung durch KI-basierte Simulation kritischer Szenarien R Pfeffer, M Herrmann, H Kemper ATZelektronik 18 (11), 16-21, 2023 | | 2023 |