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Abstract
Advanced Driver Assistance Systems (ADAS) are increasingly being installed in vehicles. The aim is to make the car highly automated. Thus, the demands on such ADAS or systems that are necessary for these ADAS are increasing analogously. The systems must be fault-tolerant and reliable. For this purpose, it is necessary that the individual systems themselves are continuously checked by monitors. But even such monitors can fail. It is therefore important that the monitors are also constantly checked. For example, faults can be intentionally injected into the system in order to observe the subsequent reaction of the monitor. For highly automated vehicles, it is obviously necessary to apply more and more sophisticated fault injection methods in order to detect faults in the system at an early stage and accordingly replace components before a possible failure. In case, preventive maintenance is no longer possible, the system should be able to provide at least part of its functionality - fail-operational - or be shut down completely - fail-safe. In this publication, an architecture with corresponding fault injection modules for MEMS-based LiDAR systems is proposed. The architecture has been implemented in an FPGA prototyping platform to demonstrate its feasibility and evaluate its performance.
Originalsprache | englisch |
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Titel | 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings |
Seitenumfang | 6 |
ISBN (elektronisch) | 978-1-7281-9431-8 |
DOIs | |
Publikationsstatus | Veröffentlicht - 23 Aug. 2021 |
Veranstaltung | 16th IEEE Sensors Applications Symposium: SAS 2021 - Virtual, Sundsvall, Schweden Dauer: 23 Aug. 2021 → 25 Aug. 2021 |
Publikationsreihe
Name | 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings |
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Konferenz
Konferenz | 16th IEEE Sensors Applications Symposium |
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Land/Gebiet | Schweden |
Ort | Virtual, Sundsvall |
Zeitraum | 23/08/21 → 25/08/21 |
ASJC Scopus subject areas
- Artificial intelligence
- Instrumentierung
- Maschinelles Sehen und Mustererkennung
- Angewandte Informatik
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Untersuchen Sie die Forschungsthemen von „Towards Fault Injection Modules for Functionality Checks in MEMS-based LiDAR Systems“. Zusammen bilden sie einen einzigartigen Fingerprint.-
Hardware/Software-Codesign
Steger, C., Seifert, C., Stelzer, P., Fiala, G. & Basic, F.
1/01/95 → …
Projekt: Arbeitsgebiet
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PRYSTINE - Programmierbare Systeme für die Intelligenz in Automobilen
Steger, C., Strasser, A. & Stelzer, P.
1/05/18 → 30/04/21
Projekt: Forschungsprojekt
Aktivitäten
- 1 Vortrag bei Konferenz oder Fachtagung
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Towards Fault Injection Modules for Functionality Checks in MEMS-based LiDAR Systems
Philipp Stelzer (Redner/in)
2021Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science