Improved Models of Imaging of Skylight Polarization Through a Fisheye Lens.

Shaobo Sun, Jun Gao, Daqian Wang, Tian Yang, Xin Wang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

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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

1 citing paper in PubMed.

Sensor Modeling and Calibration Method Based on Extinction Ratio Error for Camera-Based Polarization Navigation Sensor.Sensors (Basel, Switzerland) · 2020
Article

4 · The record

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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

5 authors.

Shaobo SunSchool of Computer and Information, Hefei University of Technology, Hefei 230009, China.

Jun GaoSchool of Computer and Information, Hefei University of Technology, Hefei 230009, China.

Daqian WangSchool of Computer and Information, Hefei University of Technology, Hefei 230009, China.

Tian YangSchool of Computer and Information, Hefei University of Technology, Hefei 230009, China.

Xin WangSchool of Computer and Information, Hefei University of Technology, Hefei 230009, China.ORCID 0000-0001-9291-3517

Funding

National Defense Science and Technology Project 1816321TS00106401National Natural Science Foundation of China 61801161, 61571175Natural Science Foundation of Anhui Province 1908085QF282

6 · The paper itself

Abstract

Researchers have found that some animals can use the skylight polarization pattern for navigation. It is also expected to use the skylight polarization pattern for human navigating in the near future. However, the challenge is that the need for a more accurate and efficient model of the imaging of skylight polarization is always felt. In this paper, three improved models of imaging of skylight polarization are proposed. The proposed models utilize the analysis of the distribution of the skylight polarization pattern after the polarization imaging system. Given that the skylight polarization pattern after the polarization imaging system is distorted, the focus of this paper is on the degree of distortion of the skylight polarization pattern in these imaging models. Experiments in clear weather conditions demonstrate that the proposed model operates close to the actual acquired skylight polarization pattern.

Indexed as

distortionimaging modelsimaging theoriesskylight polarization pattern

Identifiers

PMID31703263

DOI10.3390/s19224844

PMCPMC6891764

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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.