MEMS-based imaging LIDAR

Yuzuru Takashima, Brandon Hellman, Joshua Rodriguez, Guanghao Chen, Braden Smith, Adley Gin, Alonzo Espinoza, Paul Winkler, Cameron Perl, Chuan Luo, Eunmo Kang, Youngsik Kim, Heejoo Choi, Daewook Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Micro Electro Mechanical System (MEMS) is a pathway for high performance yet cost effective Time-of-Flight based LIDARs while satisfying trade-offs in performances, such as field-of-view, angular and range resolution, scanning speed and power consumption.

Original languageEnglish (US)
Title of host publicationOptics and Photonics for Energy and the Environment, EE 2018
PublisherOSA - The Optical Society
ISBN (Print)9781943580477
DOIs
StatePublished - 2018
EventOptics and Photonics for Energy and the Environment, EE 2018 - Singapore, Singapore
Duration: Nov 5 2018Nov 8 2018

Publication series

NameOptics InfoBase Conference Papers
VolumePart F118-EE 2018

Other

OtherOptics and Photonics for Energy and the Environment, EE 2018
Country/TerritorySingapore
CitySingapore
Period11/5/1811/8/18

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

Fingerprint

Dive into the research topics of 'MEMS-based imaging LIDAR'. Together they form a unique fingerprint.

Cite this