Live Migration of a 3D Flash LiDAR System between two Independent Data Processing Systems with Redundant Design

Philipp Stelzer, Sebastian Reicher, Georg Macher, Christian Steger, Raphael Schermann

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


Self-driving and self-flying vehicles have the ability to drive respectively fly independently without the intervention of an operator. For this purpose, these vehicles need sensors for environment perception and data processing systems, which are safety-critical, to process the obtained raw data from these sensors. However, if such safety-critical systems fail, this can have fatal consequences and can affect human lives and/or the environment, especially in the case of highly automated vehicles. A total failure of these systems is one of the worst scenarios in an automated vehicle. Therefore, such safety-critical systems are often designed redundantly in order to prevent a total failure of environment perception. In order to ensure that the operation of the vehicle can continue safely, however, the live migration from one system to the other must be carried out with as little downtime as possible. In our publication, we present a concept for a 3D Flash LiDAR live migration between two independent data processing systems with redundant design. This concept provides a solution for highly automated vehicles to remain fail-operational in case one of the redundant data processing systems fails. The results obtained from the implemented concept, without specifically addressing performance, are also provided to demonstrate feasibility.
Original languageEnglish
Title of host publication2022 IEEE Sensors Applications Symposium, SAS 2022 - Proceedings
Number of pages6
ISBN (Electronic)9781665409810
Publication statusPublished - 2022
Event17th IEEE Sensors Applications Symposium: SAS 2022 - Hybrider Event, Sundsvall, Sweden
Duration: 1 Aug 20223 Aug 2022

Publication series

Name2022 IEEE Sensors Applications Symposium, SAS 2022 - Proceedings


Conference17th IEEE Sensors Applications Symposium
Abbreviated titleSAS 2022
CityHybrider Event, Sundsvall


  • 3D Flash LiDAR
  • automated vehicles
  • live migration
  • safety
  • fail-operational

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition


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