Evidence map›Paper›PMID 38667972›Full record

ArticleJournal of imaging2024

An Improved Bio-Orientation Method Based on Direct Sunlight Compensation for Imaging Polarization Sensor.

Guangmin Li, Ya Zhang, Shiwei Fan, Fei Yu

Abstract read
In one paragraph

Article in Journal of imaging, 2024. 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

4 authors.

Guangmin LiSchool of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Ya ZhangSchool of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0001-6434-6412
Shiwei FanSchool of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Fei YuSchool of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0001-8854-5707

Funding

National Natural Science Foundation of China 52071121National Natural Science Foundation of China 52271311Postdoctoral Foundation of Heilongjiang Province Government LBH-Z22161
6 · The paper itself

Abstract

Direct sunlight in complex environmental conditions severely interferes with the light intensity response for imaging Polarization Sensor (PS), leading to a reduction in polarization orientation accuracy. Addressing this issue, this article analyzes the impact mechanism of direct sunlight on polarization sensor detection in a complex environment. The direct sunlight interference factor is introduced into the intensity response model of imaging polarization detection, enhancing the accuracy of the polarization detection model. Furthermore, a polarization state information analytical solution model based on direct sunlight compensation is constructed to improve the accuracy and real-time performance of the polarization state information solution. On this basis, an improved bio-orientation method based on direct sunlight compensation for imaging polarization sensor is proposed. The outdoor dynamic reorientation experiment platform is established to validate the effectiveness of the proposed method. Compared with the traditional methods, the experimental results demonstrate a 23% to 47% improvement in the polarization orientation accuracy under various solar zenith angles.

Indexed as

direct sunlight compensationimaging polarization sensorpolarization detection modelpolarization orientation

Identifiers

PMID38667972
PMCPMC11050838

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.