Iterative learning control (ILC) algorithm for greatly increased bandwidth and linearity of MEMS mirrors in LiDAR and related imaging applications-Reference-Cited by-同舟云学术

Iterative learning control (ILC) algorithm for greatly increased bandwidth and linearity of MEMS mirrors in LiDAR and related imaging applications

Published:2018-02-22 Issue: Volume: Page:
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Container-title:MOEMS and Miniaturized Systems XVII
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Author:

Kasturi Abhishek,Milanović Veljko,Hu Frank,Kim Hong Joo

Publisher

SPIE

Reference23 articles.

1. Low-cost compact MEMS scanning ladar system for robotic applications;Moss,2012

2. Progress on MEMS-scanned ladar;Stann,2016

3. Closed-loop control of gimbal-less MEMS mirrors for increased bandwidth in LiDAR applications;Milanović,2017

4. Website, “SpectroScan 3D MEMS LIDAR System Model MLS 201,” Spectrolab Inc., Nov. 2012. Web. Jan. 2018. http://www.spectrolab.com/sensors/pdfs/products/SPECTROSCAN3D_RevA%20071912.pdf.

5. Adapting the SpaceCube v2.0 Data Processing System for Mission-Unique Application Requirements;Petrick,2015

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1. Design and Verification of Multi-Functional Obstacle Avoidance Sensor for the Tianwen-1 Mars Probe;Space Science Reviews;2023-07-27

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3. Experimental Evaluation of Vibration Influence on a Resonant MEMS Scanning System for Automotive Lidars;IEEE Transactions on Industrial Electronics;2022-03

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