Challenges and Opportunities Applying Laser Beam Scanning Displays Based on Biaxial Resonantly Operated MEMS Scanners

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Leon Pohl - , OQmented GmbH (Author)
  • Oleg Petrak - , OQmented GmbH (Author)
  • Jan Berlinski - , OQmented GmbH (Author)
  • Marcel Metschulat - , OQmented GmbH (Author)
  • Lars Boie - , OQmented GmbH (Author)
  • Robert Schmoll - , OQmented GmbH (Author)
  • Jakob Studer - , OQmented GmbH (Author)
  • Wjatscheslaw Galjan - , OQmented GmbH (Author)
  • Andreas Bahr - , Hamburg University of Technology, Jade University of Applied Sciences (Author)

Abstract

Laser Beam Scanning (LBS) light engines based on two-dimensional (biaxial) resonantly operated and vacuum packaged MEMS scanners, show several advantages over traditional display technologies. Their easy scalability in terms of brightness, resolution, field of view and frame rate makes them well suitable for a wide range of applications including automotive Head-Up Displays (HUD), outdoor displays, 3D sensing and especially compact and fashionable all-day wearable Augmented Reality (AR) glasses. In order that LBS light engines can exploit their unique advantages important challenges must be overcome first. The aim of this paper is to explain the function principle of MEMS based Lissajous laser beam scanning as well as the importance of control loops and optimization mechanisms. Additionally, the resulting opportunities for LBS light engines are highlighted which allows the projector to scale towards the desired resolution, frame rate, field of view or brightness. The achieved projections demonstrating different use cases are visualized by real photographs.

Details

Original languageEnglish
Title of host publication2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages976-981
Number of pages6
ISBN (electronic)9798350378009
ISBN (print)979-8-3503-7801-6
Publication statusPublished - 23 Oct 2024
Peer-reviewedYes
Externally publishedYes

Conference

Title3rd IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering
Abbreviated titleMetroXRAINE 2024
Conference number3
Duration21 - 23 October 2024
Website
LocationThe Alban Arena
CitySt Albans
CountryUnited Kingdom

External IDs

Scopus 85216100727
ORCID /0000-0001-8012-6794/work/184006555

Keywords

Keywords

  • Brightness, Engines, Laser beams, Micromechanical devices, Optimization, Scalability, Sensors, Three-dimensional displays, Vacuum technology, Visualization, AR, HUD, Laser Beam Scanning, LBS, Lissajous, MEMS