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Institut für Automatisierungstechnik und Softwaresysteme
Institut
Team
Hettich, Lennard

Lennard Hettich

M.Sc.

Akademischer Mitarbeiter
Institut für Automatisierungstechnik und Softwaresysteme

Kontakt

+49 711 685 69183
+49 711 685 67302
E-Mail
Google Scholar

Pfaffenwaldring 47
70550 Stuttgart
Raum: 1.134

Publikationen

2024
1. M. Schindewolf, M. Kuebler, T. Pett, L. Hettich, H. Agh, J. Lorenz, S. Wagner, M. Weyrich, I. Schaefer, T. Düser, and others, “Integrated Approach for High-quality Software Development of Upgradeable Vehicles,” in International Stuttgart Symposium, 2024, pp. 202–217.
  - BibTeX
  BibTeX
  @inproceedings{schindewolf2024integrated, author = {Schindewolf, Marc and Kuebler, Maximilian and Pett, Tobias and Hettich, Lennard and Agh, Halimeh and Lorenz, Julian and Wagner, Stefan and Weyrich, Michael and Schaefer, Ina and D{\"u}ser, Tobias and others}, booktitle = {International Stuttgart Symposium}, organization = {Springer}, pages = {202--217}, title = {Integrated Approach for High-quality Software Development of Upgradeable Vehicles}, year = 2024 }
2. L. Hettich and M. Weyrich, “Intelligent Sensors in Dynamically Reconfigurable Automotive Architectures: A Proof of Concept,” in 2024 Stuttgart International Symposium on Automotive and Engine Technology, Wiesbaden, 2024, pp. 3–19.
  - Zusammenfassung
  - BibTeX
  Zusammenfassung
  The necessity of a reconfigurable software-defined vehicle platform that is no longer sold as a one-off, but can be continuously adapted to dynamic customer requirements during its lifetime, is becoming increasingly clear. Political and economic institutions have become aware of these needs and initiated actions in the context of contested markets with declining sales figures. However, according to our research, existing vehicle architecture concepts and frameworks do not cover the upgradeability, dynamic reconfigurability at runtime and continuous adaptability aspects of vehicle sensors to the necessary extent. Vehicle sensor technology constitutes the fundamental basis for safe decisions of autonomous driving functions, we therefore consider the importance of this topic to be significant. Building upon the existing service-oriented E/E architecture framework ROSMARIN, we want to contribute a concept extension, allowing the seamless integration of intelligent sensors in vehicles. In addition to requirements for intelligent sensor technology in flexible architectures such as Plug-and-Play of sensor hardware, upgradeability through virtualization of sensor software and runtime resilience, our concept furthermore integrates a novel generalized approach for dynamic sensor calibration and fusion. We prove our concept on a physical demonstrator setup with ultrasonic, LiDAR and camera sensors and demonstrate the upgradeability and reconfigurability of sensor hardware and software. In addition, we show the dynamic online fusion of camera and LiDAR data with minimal effort, while also proving the resilience and automatic adaptability of our approach in case of unforeseeable events like sensor failures.
  BibTeX
  @inproceedings{10.1007/978-3-658-45010-6_1, abstract = {The necessity of a reconfigurable software-defined vehicle platform that is no longer sold as a one-off, but can be continuously adapted to dynamic customer requirements during its lifetime, is becoming increasingly clear. Political and economic institutions have become aware of these needs and initiated actions in the context of contested markets with declining sales figures. However, according to our research, existing vehicle architecture concepts and frameworks do not cover the upgradeability, dynamic reconfigurability at runtime and continuous adaptability aspects of vehicle sensors to the necessary extent. Vehicle sensor technology constitutes the fundamental basis for safe decisions of autonomous driving functions, we therefore consider the importance of this topic to be significant. Building upon the existing service-oriented E/E architecture framework ROSMARIN, we want to contribute a concept extension, allowing the seamless integration of intelligent sensors in vehicles. In addition to requirements for intelligent sensor technology in flexible architectures such as Plug-and-Play of sensor hardware, upgradeability through virtualization of sensor software and runtime resilience, our concept furthermore integrates a novel generalized approach for dynamic sensor calibration and fusion. We prove our concept on a physical demonstrator setup with ultrasonic, LiDAR and camera sensors and demonstrate the upgradeability and reconfigurability of sensor hardware and software. In addition, we show the dynamic online fusion of camera and LiDAR data with minimal effort, while also proving the resilience and automatic adaptability of our approach in case of unforeseeable events like sensor failures.}, address = {Wiesbaden}, author = {Hettich, Lennard and Weyrich, Michael}, booktitle = {2024 Stuttgart International Symposium on Automotive and Engine Technology}, editor = {Kulzer, Andr{\'e} Casal and Reuss, Hans-Christian and Wagner, Andreas}, isbn = {978-3-658-45010-6}, pages = {3--19}, publisher = {Springer Fachmedien Wiesbaden}, title = {Intelligent Sensors in Dynamically Reconfigurable Automotive Architectures: A Proof of Concept}, year = 2024 }
2021
1. M. Müller, N. Jazdi, A. Löcklin, L. Hettich, and M. Weyrich, “Adaptive Models for Safe Maintenance Planning of Cyber-physical Systems,” in 15 th CIRP Conference on Intelligent Computation and Manufacturing Engineering, Gulf of Naples, Italy, July 2021, 2021.
  Zusammenfassung
  The progress of digitalization and Internet of Things enables more and more complex, networked and powerful Cyber-physical Systems (CPS) operating in uncertain environments. This complexity and uncertainty, however, makes it unfeasible to model every aspect in advance. This causes the models to leave their scope and reach their capability limits. Specifically, in safe maintenance planning for highly-automated trucks, this fact causes waste of valuable resource, since maintenance models are often more rule-of-thumb (e.g. operation hours) than precise. In order to counteract this issue, we propose extending the digital twin concept by artificial intelligence such that the models become dynamic and adaptive. Having described the general approach and its architecture, we showcase and evaluate the approach in a highly-automated truck scenario.
  BibTeX
  @conference{muller2022adaptive, abstract = {The progress of digitalization and Internet of Things enables more and more complex, networked and powerful Cyber-physical Systems (CPS) operating in uncertain environments. This complexity and uncertainty, however, makes it unfeasible to model every aspect in advance. This causes the models to leave their scope and reach their capability limits. Specifically, in safe maintenance planning for highly-automated trucks, this fact causes waste of valuable resource, since maintenance models are often more rule-of-thumb (e.g. operation hours) than precise. In order to counteract this issue, we propose extending the digital twin concept by artificial intelligence such that the models become dynamic and adaptive. Having described the general approach and its architecture, we showcase and evaluate the approach in a highly-automated truck scenario.}, author = {Müller, Manuel and Jazdi, Nasser and Löcklin, Andreas and Hettich, Lennard and Weyrich, Michael}, booktitle = {15 th CIRP Conference on Intelligent Computation and Manufacturing Engineering, Gulf of Naples, Italy, July 2021}, title = {Adaptive Models for Safe Maintenance Planning of Cyber-physical Systems}, url = {https://www.ias.uni-stuttgart.de/dokumente/publikationen/2022-Adaptive_Models_for_Safe_Maintenance_Planning_of_Cyber-physical_Systems.pdf}, year = 2021 }
  Link
  https://www.ias.uni-stuttgart.de/dokumente/publikationen/2022-Adaptive_Models_for_Safe_Maintenance_Planning_of_Cyber-physical_Systems.pdf

Forschung

Forschungsschwerpunkt: - Validierung von Software-Produktlinien im Kontext der Evolution von Qualitätssicherungs-Methoden

Beschreibung: - Die Software-Produktlinienentwicklung hat sich in den vergangenen Jahren als ein probater Ansatz für die effiziente Entwicklung variantenreicher und hochkonfigurierbarer Software-Systeme erwiesen, der in der Lage ist, dem wachsenden Bedürfnis nach Individualisierbarkeit gerecht zu werden. Allerdings stellt die funktionale Absicherung von Software-Produktlinien nach wie vor eine große Herausforderung dar, da hierbei aufgrund des kombinatorischen Explosionsproblems oft eine unvorstellbare Anzahl an verschiedenen Systemkonfigurationen zu berücksichtigen ist. Bei konventionellen Testansätzen wie Brute-Force-, Reduktions- oder Regressions-Verfahren ist dieses Problem deutlich spürbar und zeigt sich in Gestalt von langen Laufzeiten und hohen Rechenaufwänden. Dieser Ineffizienz gegenüber steht die aktuelle Entwicklung des Software-Testens allgemein in Richtung einer Etablierung von kontinuierlichem Testen mit dem Ziel einer Integration in Continuous Integration/Continuous Delivery-Pipelines. Im Zuge dessen werden neue Anforderungen an Testansätze wie große Verfahrenseffizienz oder hoher Automatisierungsgrad gestellt. Es stellt sich die Frage, wie sich Testverfahren für Software-Produktlinien verändern müssen, um mit dieser Entwicklung Schritt halten zu können. Die Forschung beschäftigt sich in diesem Zusammenhang mit der Untersuchung von risikobasierten Testverfahren für Software-Produktlinien. Im Gegensatz zu den konventionellen, abdeckungsge-steuerten Verfahren sollen diese die limitierten Testressourcen auf die Ausschnitte der Software-Produktlinie mit der höchsten Kritikalität fokussieren.

Forschungsportal:
https://www.researchgate.net/profile/Lennard-Hettich
Google scholar: -