Towards Dynamic Master Determination in MEMS-based Micro-Scanning LiDAR Systems

Philipp Stelzer, Andreas Strasser, Christian Steger, Norbert Druml

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


Automated driving has been expected for decades. The first systems, which at least partially automate the vehicle, have been installed in higher priced vehicles for several years. In the near future, however, many more competencies are to be transferred to the systems and the vehicle will thus be fully automated. Such systems receive their data from various sensor systems such as Light Detection And Ranging (LiDAR). Therefore, it is essential that this information is transmitted correctly and reliably to the environmental perception system. In order to ensure this, redundancy of sensors is a key factor in addition to diversity. For example, multiple, independently controlled MEMS-based LiDAR systems can be operated synchronously. This requires the selection of a Master system which can be reliably followed by all Slave systems. In this publication, an architecture for MEMS-based Micro-Scanning LiDAR systems is proposed to determine the appropriate system as Master. The architecture has been implemented in an FPGA prototyping platform to demonstrate its feasibility and evaluate its performance.
Original languageEnglish
Title of host publication32nd IEEE Intelligent Vehicles Symposium, IV 2021
Number of pages7
ISBN (Electronic)9781728153940
Publication statusPublished - 11 Jul 2021
Event32nd IEEE Intelligent Vehicles Symposium: IV21 - Virtuell, Austria
Duration: 11 Jul 202117 Jul 2021

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings


Conference32nd IEEE Intelligent Vehicles Symposium
Abbreviated titleIV21

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modelling and Simulation

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