TY - GEN
T1 - MEMS-based imaging LIDAR
AU - Takashima, Yuzuru
AU - Hellman, Brandon
AU - Rodriguez, Joshua
AU - Chen, Guanghao
AU - Smith, Braden
AU - Gin, Adley
AU - Espinoza, Alonzo
AU - Winkler, Paul
AU - Perl, Cameron
AU - Luo, Chuan
AU - Kang, Eunmo
AU - Kim, Youngsik
AU - Choi, Heejoo
AU - Kim, Daewook
N1 - Publisher Copyright:
© 2018 The Author(s).
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85059511016&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059511016&partnerID=8YFLogxK
U2 - 10.1364/EE.2018.ET4A.1
DO - 10.1364/EE.2018.ET4A.1
M3 - Conference contribution
AN - SCOPUS:85059511016
SN - 9781943580477
T3 - Optics InfoBase Conference Papers
BT - Optics and Photonics for Energy and the Environment, EE 2018
PB - Optica Publishing Group (formerly OSA)
T2 - Optics and Photonics for Energy and the Environment, EE 2018
Y2 - 5 November 2018 through 8 November 2018
ER -