Evidence map›Paper›PMID 38894104›Full record

ReviewSensors (Basel, Switzerland)2024

Passive Polarized Vision for Autonomous Vehicles: A Review.

Julien R Serres, Pierre-Jean Lapray, Stéphane Viollet, Thomas Kronland-Martinet, Antoine Moutenet, Olivier Morel, Laurent Bigué

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
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.

Julien R SerresThe Institute of Movement Sciences, Aix Marseille University, CNRS, ISM, CEDEX 09, 13284 Marseille, France.ORCID 0000-0002-2840-7932
Pierre-Jean LaprayThe Institute for Research in Computer Science, Mathematics, Automation and Signal, Université de Haute-Alsace, IRIMAS UR 7499, 68100 Mulhouse, France.ORCID 0000-0003-2230-0955
Stéphane ViolletThe Institute of Movement Sciences, Aix Marseille University, CNRS, ISM, CEDEX 09, 13284 Marseille, France.ORCID 0000-0003-1585-9822
Thomas Kronland-MartinetThe Institute of Movement Sciences, Aix Marseille University, CNRS, ISM, CEDEX 09, 13284 Marseille, France.ORCID 0000-0001-6893-7244
Antoine MoutenetThe Institute of Movement Sciences, Aix Marseille University, CNRS, ISM, CEDEX 09, 13284 Marseille, France.ORCID 0009-0000-8328-5643
Olivier MorelImViA, Laboratory, University of Bourgogne, 71200 Le Creusot, France.ORCID 0000-0002-8599-4598
Laurent BiguéThe Institute for Research in Computer Science, Mathematics, Automation and Signal, Université de Haute-Alsace, IRIMAS UR 7499, 68100 Mulhouse, France.ORCID 0000-0002-1306-7285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review article aims to address common research questions in passive polarized vision for robotics. What kind of polarization sensing can we embed into robots? Can we find our geolocation and true north heading by detecting light scattering from the sky as animals do? How should polarization images be related to the physical properties of reflecting surfaces in the context of scene understanding? This review article is divided into three main sections to address these questions, as well as to assist roboticists in identifying future directions in passive polarized vision for robotics. After an introduction, three key interconnected areas will be covered in the following sections: embedded polarization imaging; polarized vision for robotics navigation; and polarized vision for scene understanding. We will then discuss how polarized vision, a type of vision commonly used in the animal kingdom, should be implemented in robotics; this type of vision has not yet been exploited in robotics service. Passive polarized vision could be a supplemental perceptive modality of localization techniques to complement and reinforce more conventional ones.

Indexed as

bio-inspired visioncelestial compasslinearly polarized lightmulti-modal visionpassive polarization sensingpolarized geolocationscene understandingunconventional vision

Identifiers

PMID38894104
PMCPMC11174665

What OpenQuestion holds

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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.