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

doi:10.1364/EE.2018.ET4A.1

Light, Energy and the Environment 2018 (E2, FTS, HISE, SOLAR, SSL)
OSA Technical Digest (Optica Publishing Group, 2018),
paper ET4A.1
•https://doi.org/10.1364/EE.2018.ET4A.1

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, and Daewook Kim

Optics and Photonics for Energy and the Environment 2018

Singapore Singapore
5–8 November 2018
ISBN: 978-1-943580-47-7

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Photonics & Imaging of the Environment and Agriculture (ET4A)

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Y. Takashima, B. Hellman, J. Rodriguez, G. Chen, B. Smith, A. Gin, A. Espinoza, P. Winkler, C. Perl, C. Luo, E. Kang, Y. Kim, H. Choi, and D. Kim, "MEMS-based Imaging LIDAR," in Light, Energy and the Environment 2018 (E2, FTS, HISE, SOLAR, SSL), OSA Technical Digest (Optica Publishing Group, 2018), paper ET4A.1.

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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.

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