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

Philipp Stelzer; Andreas Strasser; Christian Steger; Norbert Druml

doi:10.1109/IV48863.2021.9575795

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

Philipp Stelzer, Andreas Strasser, Christian Steger, Norbert Druml

Institute of Technical Informatics (4480)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

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 language	English
Title of host publication	32nd IEEE Intelligent Vehicles Symposium, IV 2021
Pages	874-880
Number of pages	7
ISBN (Electronic)	9781728153940
DOIs	https://doi.org/10.1109/IV48863.2021.9575795
Publication status	Published - 11 Jul 2021
Event	32nd IEEE Intelligent Vehicles Symposium: IV21 - Virtuell, Austria Duration: 11 Jul 2021 → 17 Jul 2021

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings
Volume	2021-July

Conference

Conference	32nd IEEE Intelligent Vehicles Symposium
Abbreviated title	IV21
Country/Territory	Austria
City	Virtuell
Period	11/07/21 → 17/07/21

ASJC Scopus subject areas

Computer Science Applications
Automotive Engineering
Modelling and Simulation

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10.1109/IV48863.2021.9575795

Towards Dynamic Master Determination in MEMS-based Micro-Scanning LiDAR SystemsAccepted author manuscript, 3.39 MB

Cite this

Towards Dynamic Master Determination in MEMS-based Micro-Scanning LiDAR Systems. / Stelzer, Philipp; Strasser, Andreas; Steger, Christian et al.

32nd IEEE Intelligent Vehicles Symposium, IV 2021. 2021. p. 874-880 (IEEE Intelligent Vehicles Symposium, Proceedings; Vol. 2021-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Stelzer, P, Strasser, A, Steger, C & Druml, N 2021, Towards Dynamic Master Determination in MEMS-based Micro-Scanning LiDAR Systems. in 32nd IEEE Intelligent Vehicles Symposium, IV 2021. IEEE Intelligent Vehicles Symposium, Proceedings, vol. 2021-July, pp. 874-880, 32nd IEEE Intelligent Vehicles Symposium, Virtuell, Austria, 11/07/21. https://doi.org/10.1109/IV48863.2021.9575795

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

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Hardware/Software-Codesign

PRYSTINE - Programmable Systems for Intelligence in Automobiles