Evidence map›Paper›PMID 25763652›Full record

ArticleSensors (Basel, Switzerland)2015

An evaluation of skylight polarization patterns for navigation.

Tao Ma, Xiaoping Hu, Lilian Zhang, Junxiang Lian, Xiaofeng He, Yujie Wang, Zhiwen Xian

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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.

Tao MaCollege of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410073, Hunan, China. tao_ma@live.com.
Xiaoping HuCollege of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410073, Hunan, China. xphu@nudt.edu.cn.
Lilian ZhangCollege of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410073, Hunan, China. lilian-zhang@hotmail.com.
Junxiang LianCollege of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410073, Hunan, China. jx_Lian@hotmail.com.
Xiaofeng HeCollege of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410073, Hunan, China. hexf_lit@126.com.
Yujie WangCollege of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410073, Hunan, China. yjwang@nudt.edu.cn.
Zhiwen XianCollege of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410073, Hunan, China. xianzw2011@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skylight polarization provides a significant navigation cue for certain polarization-sensitive animals. However, the precision of the angle of polarization (AOP) of skylight for vehicle orientation is not clear. An evaluation of AOP must be performed before it is utilized. This paper reports an evaluation of AOP of skylight by measuring the skylight polarization patterns of clear and cloudy skies using a full-sky imaging polarimetry system. AOP measurements of skylight are compared with the pattern calculated by the single-scattering Rayleigh model and these differences are quantified. The relationship between the degree of polarization (DOP) and the deviation of AOP of skylight is thoroughly studied. Based on these, a solar meridian extracted method is presented. The results of experiments reveal that the DOP is a key parameter to indicate the accuracy of AOP measurements, and all the output solar meridian orientations extracted by our method in both clear and cloudy skies can achieve a high accuracy for vehicle orientation.

Identifiers

PMID25763652
PMCPMC4435192

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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.