Best Paper Award for “All-MEMS Lidar System Demonstrated,” an Important Milestone Towards All-solid-state Lidar System
The All-MEMS lidar demo set up for the Takashima Lab.
A publication from the Takashima Lab on all-MEMS (Micro Electro Mechanical System) LIDAR was selected as one of the five best papers published in the journal of Micromachines in 2022.
The Micromachines Best Paper Awards Committee, selected "All-MEMS Lidar Using Hybrid Optical Architecture with Digital Micromirror Devices and a 2D-MEMS Mirror" as one of five winners of the Micromachines Best Paper Awards for 2022 (2,500 CHF) from among 2260 published papers. The committee chooses 5 articles of exceptional quality that were published in the journal two years prior. Originality and significance of the papers, considering citations and downloads since publication, determines the awards. Read the official announcement.
The paper addresses a quasi-solid-state lidar system employing Texas Instruments Digital Micromirror Device (DMD) and 2-dimensional MEMS mirror for lidar transmitter and a 2nd DMD for receiver.
The student research team demonstrated the lidar system by combining and synchronizing two kinds of MEMS devices. The beam steering concept is expected to demonstrate a more intelligent and adaptive lidar system, replacing bulky and slow scanning LIDARs with fast and light ones that include a cost-effective, mass-produced, MEMS device.
Researchers who authored the paper, many of whom are Wyant College of Optical Sciences students, include: Eunmo Kang, Heejoo Choi, Brandon Hellman, Joshua Rodriguez, Braden Smith, Xianyue Deng, Parker Liu, Ted Liang-Tai Lee, Eric Evans, Yifan Hong, Jiafan Guan, Chuan Luo and Yuzuru Takashima.