Evidence map›Paper›PMID 42173853›Full record

ArticleMicrosystems & nanoengineering2026

Multi-target positioning and motion tracking enabled by a compound meta-eye system.

Li Zhang, Lingyun Zhang, Xiaoguang Zhao, Jin Li, Hongjing Cao, Jianing Yang, Chi Zhang, Zilun Wang, Yuhang Li, Haiyan Shi and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microsystems & nanoengineering, 2026. 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

15 authors.

Li ZhangNational Key Lab of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Lingyun ZhangState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China. zhangly_imet@hust.edu.cn.ORCID http://orcid.org/0000-0002-4818-0624
Xiaoguang ZhaoDepartment of Precision Instrument, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0001-9853-2176
Jin LiSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China.
Hongjing CaoDepartment of Precision Instrument, Tsinghua University, Beijing, 100084, China.
Jianing YangDepartment of Precision Instrument, Tsinghua University, Beijing, 100084, China.
Chi ZhangDepartment of Precision Instrument, Tsinghua University, Beijing, 100084, China.
Zilun WangState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.
Yuhang LiNational Key Lab of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Haiyan ShiNational Key Lab of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Zhe ZhangNational Key Lab of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Junbin LiNational Key Lab of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Hanwen GuoState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.
Fei XingDepartment of Precision Instrument, Tsinghua University, Beijing, 100084, China. xingfei@mail.tsinghua.edu.cn.
Zichen ZhangNational Key Lab of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China. zz241@buaa.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate perception of spatial position is essential for both biological vision and intelligent unmanned systems. Existing radio-based positioning approaches are susceptible to interference and require bulky infrastructures, while optical systems often trade accuracy for compactness. Here, we present a compound meta-eye system (CMES) that integrates an array of metalens sub-eyes to capture angular parallax from multiple targets simultaneously. Each sub-eye focuses light onto a detector to form arrayed images, from which a global-ratio algorithm reconstructs spatial coordinates with high precision. The CMES enables multi-target positioning and motion tracking within a meter-scale range, achieving a relative depth error below 2% and trajectory-fitting deviations under 0.5 mm. The metalens design provides diffraction-limited focusing and wide angular tolerance, combining biological compound eye compactness with flat meta-optics. This compact optical-perception platform offers an efficient solution for real-time multi-target spatial perception, with potential applications in formation control, visual navigation, and environmental perception for unmanned aerial vehicles and embodied intelligent agents.

Identifiers

PMID42173853
PMCPMC13197479

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.