Evidence map›Paper›PMID 34677303›Full record

ReviewJournal of imaging2021

A Review of Modern Thermal Imaging Sensor Technology and Applications for Autonomous Aerial Navigation.

Tran Xuan Bach Nguyen, Kent Rosser, Javaan Chahl

Abstract readReview
In one paragraph

Review in Journal of imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Gas Imaging with Uncooled Thermal Imager.Sensors (Basel, Switzerland) · 2024
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

3 authors.

Tran Xuan Bach NguyenSchool of Engineering, University of South Australia, Mawson Lakes 5095, Australia.ORCID 0000-0002-9914-2265
Kent RosserAerospace Division, Defence Science and Technology Group, Edinburgh 5111, Australia.ORCID 0000-0003-4017-6396
Javaan ChahlSchool of Engineering, University of South Australia, Mawson Lakes 5095, Australia.ORCID 0000-0001-6496-0543

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited navigation capabilities of many current robots and UAVs restricts their applications in GPS denied areas. Large aircraft with complex navigation systems rely on a variety of sensors including radio frequency aids and high performance inertial systems rendering them somewhat resistant to GPS denial. The rapid development of computer vision has seen cameras incorporated into small drones. Vision-based systems, consisting of one or more cameras, could arguably satisfy both size and weight constraints faced by UAVs. A new generation of thermal sensors is available that are lighter, smaller and widely available. Thermal sensors are a solution to enable navigation in difficult environments, including in low-light, dust or smoke. The purpose of this paper is to present a comprehensive literature review of thermal sensors integrated into navigation systems. Furthermore, the physics and characteristics of thermal sensors will also be presented to provide insight into challenges when integrating thermal sensors in place of conventional visual spectrum sensors.

Indexed as

LWIRnavigationneural networkoptical flowreviewsimultaneous localization and mappingSLAMthermal imagingUAVs

Identifiers

PMID34677303
PMCPMC8540138

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.