Evidence map›Paper›PMID 41470512›Full record

ArticleMicromachines2025

High-Precision Optical Angle Detection Method for Two-Dimensional MEMS Mirrors.

Longqi Ran, Yan Wang, Zhongrui Ma, Ting Li, Jiangbo He, Jiahao Wu, Wu Zhou

Abstract read
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Longqi RanSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Yan WangSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Zhongrui MaSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Ting LiSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Jiangbo HeSchool of Mechanical Engineering, Xihua University, Chengdu 610039, China.
Jiahao WuHuawei Technologies Co., Ltd., Shenzhen 518129, China.
Wu ZhouSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-8676-0980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a core component of MEMS LiDAR, the 2D MEMS mirror, with high-precision optical angle detection, is a key technology for radar scanning and imaging. Existing piezoresistive detection schemes of mirrors suffer from high fabrication complexity, high temperature sensitivity, and a limited accuracy of only 0.08°, failing to meet the requirements for vehicular and airborne scanning applications. This study focuses on a two-dimensional electromagnetic MEMS mirror. Based on the reflection principles of geometric optics, angle detection schemes with photodiode (PD) arrays are analyzed. A novel four-quadrant optical measurement sensor featuring a 16-PD array is proposed. This design replaces conventional large-area PDs with a compact PD array, effectively mitigating nonlinearity and low accuracy issues caused by oversized PD trenches and edge dimensions. High-precision detection of the mirror's deflection angle is achieved by measuring the current variations induced by the reflected spot position on the PDs in each quadrant. The experimental results demonstrate that the 16-PD array optical angle sensor achieves an accuracy between 0.03° and 0.036° over a detection range of ±8°.

Indexed as

LiDARMEMSphotoelectric sensorvibrating mirror

Identifiers

PMID41470512
PMCPMC12734581

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.