Fast angle adaption of a MEMS-based LiDAR system

Philipp Stelzer, Andreas Strasser, Christian Steger, Alberto Garcia, Norbert Druml

Research output: Contribution to journalConference articlepeer-review


The amount of Advanced Driver-Assistance Systems (ADAS) in middle-class cars are increasing steadily. Next generation ADAS will take control in fully automated vehicles. Light Detection And Ranging (LiDAR) will be one of the key enablers for highly automated or even autonomous vehicles. The ID Micro-Electro-Mechanical System (MEMS) Micro-Scanning LiDAR is able to detect obstacles in a predefined Field-of-View (FoV). Future ADAS applications will require to dynamically change FoVs as fast as possible (e.g. quickly switching between long-range narrow FoV and short-range wide FoV). In this paper we introduce a novel system architecture that enables fast angle adaption of a ID MEMS Micro-Scanning LiDAR System. The system architecture was implemented in an FPGA prototype to prove its feasibility and to evaluate its performance.

Original languageEnglish
Pages (from-to)55-60
Number of pages6
Issue number15
Publication statusPublished - 1 Sep 2019
Event8th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2019 - Vienna, Austria
Duration: 4 Sep 20196 Sep 2019


  • ADAS
  • Automated driving
  • ID MEMS mirror
  • LiDAR
  • Perception

ASJC Scopus subject areas

  • Control and Systems Engineering


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