Fast angle adaption of a MEMS-based LiDAR system

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

doi:10.1016/j.ifacol.2019.11.649

Fast angle adaption of a MEMS-based LiDAR system

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

Institute of Technical Informatics (4480)

Research output: Contribution to journal › Conference article › peer-review

Abstract

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 language	English
Pages (from-to)	55-60
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	52
Issue number	15
DOIs	https://doi.org/10.1016/j.ifacol.2019.11.649
Publication status	Published - 1 Sept 2019
Event	8th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2019 - Vienna, Austria Duration: 4 Sept 2019 → 6 Sept 2019

Keywords

ADAS
Automated driving
ID MEMS mirror
LiDAR
Perception

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.1016/j.ifacol.2019.11.649

Cite this

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title = "Fast angle adaption of a MEMS-based LiDAR system",

abstract = "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.",

keywords = "ADAS, Automated driving, ID MEMS mirror, LiDAR, Perception",

author = "Philipp Stelzer and Andreas Strasser and Christian Steger and Alberto Garcia and Norbert Druml",

year = "2019",

month = sep,

day = "1",

doi = "10.1016/j.ifacol.2019.11.649",

language = "English",

volume = "52",

pages = "55--60",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

publisher = "Elsevier B.V.",

number = "15",

note = "8th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2019 ; Conference date: 04-09-2019 Through 06-09-2019",

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TY - JOUR

T1 - Fast angle adaption of a MEMS-based LiDAR system

AU - Stelzer, Philipp

AU - Strasser, Andreas

AU - Steger, Christian

AU - Garcia, Alberto

AU - Druml, Norbert

PY - 2019/9/1

Y1 - 2019/9/1

N2 - 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.

AB - 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.

KW - ADAS

KW - Automated driving

KW - ID MEMS mirror

KW - LiDAR

KW - Perception

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U2 - 10.1016/j.ifacol.2019.11.649

DO - 10.1016/j.ifacol.2019.11.649

M3 - Conference article

AN - SCOPUS:85077498355

SN - 2405-8963

VL - 52

SP - 55

EP - 60

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 15

T2 - 8th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2019

Y2 - 4 September 2019 through 6 September 2019

ER -

Fast angle adaption of a MEMS-based LiDAR system

Abstract

Keywords

ASJC Scopus subject areas

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PRYSTINE - Programmable Systems for Intelligence in Automobiles