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

LWIR SLAM UAVs navigation neural network optical flow review simultaneous localization and mapping thermal imaging

Journal

Journal of imaging
ISSN: 2313-433X
Titre abrégé: J Imaging
Pays: Switzerland
ID NLM: 101698819

Informations de publication

Date de publication:
19 Oct 2021
Historique:
received: 15 07 2021
revised: 30 09 2021
accepted: 09 10 2021
entrez: 22 10 2021
pubmed: 23 10 2021
medline: 23 10 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34677303
pii: jimaging7100217
doi: 10.3390/jimaging7100217
pmc: PMC8540138
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Tran Xuan Bach Nguyen (TXB)

School of Engineering, University of South Australia, Mawson Lakes 5095, Australia.

Kent Rosser (K)

Aerospace Division, Defence Science and Technology Group, Edinburgh 5111, Australia.

Javaan Chahl (J)

School of Engineering, University of South Australia, Mawson Lakes 5095, Australia.
Joint and Operations Analysis Division, Defence Science and Technology Group, Melbourne 3000, Australia.

Classifications MeSH