Towards Fault Injection Modules for Functionality Checks in MEMS-based LiDAR Systems

Philipp Stelzer, Andreas Strasser, Christian Steger, Simon Maximilian Waldhuber, Johannes Wiesmeier, Leonhard Christian Niedermüller, Norbert Druml

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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.
Original languageEnglish
Title of host publication2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings
Number of pages6
ISBN (Electronic)978-1-7281-9431-8
DOIs
Publication statusPublished - 23 Aug 2021
Event2021 IEEE Sensors Applications Symposium: SAS 2021 - Virtual, Sundsvall, Sweden
Duration: 23 Aug 202125 Aug 2021

Publication series

Name2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings

Conference

Conference2021 IEEE Sensors Applications Symposium
Country/TerritorySweden
CityVirtual, Sundsvall
Period23/08/2125/08/21

Keywords

  • 1D MEMS mirror
  • Discharges
  • Fault injection
  • LiDAR
  • Shunt resistance

ASJC Scopus subject areas

  • Artificial Intelligence
  • Instrumentation
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Towards Fault Injection Modules for Functionality Checks in MEMS-based LiDAR Systems'. Together they form a unique fingerprint.

Cite this