Characteristics of optical flow from aerial thermal imaging,“thermal flow”
Article
Article Title | Characteristics of optical flow from aerial thermal imaging,“thermal flow” |
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ERA Journal ID | 3612 |
Article Category | Article |
Authors | Nguyen, Tran Xuan Bach, Rosser, Kent, Perera, Asanka, Moss, Philip, Teague, Sam and Chahl, Javaan |
Journal Title | Journal of Field Robotics |
Journal Citation | 39 (5), pp. 580-599 |
Number of Pages | 20 |
Year | 2022 |
Publisher | John Wiley & Sons |
Place of Publication | United States |
ISSN | 1556-4959 |
1556-4967 | |
Digital Object Identifier (DOI) | https://doi.org/10.1002/rob.22065 |
Web Address (URL) | https://onlinelibrary.wiley.com/doi/full/10.1002/rob.22065 |
Abstract | This study explores the utility of optical flow calculated from thermal imaging cameras, “thermal flow,” mounted on an aircraft for localization in day and night conditions. Our sensor implementation utilizes a long wave infrared (LWIR) micro sensor to capture sequences of thermal images and an on-board computer to compute an optical flow estimate. We compared the performance of optical flow from the LWIR camera with the output of visible spectrum optical flow sensor. Flights were conducted spanning a 24 h window to explore how thermal flow performs relative to optical flow as the ground heats and cools. Agreement between optical and thermal flow was found during daylight when both sensors were functional. Additionally, thermal flow results were reliable in the middle of the day through to late evening, gradually degrading until shortly after sunrise. |
Keywords | aircraft; LWIR; navigation; optical flow; thermal imaging; UAV |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 4007. Control engineering, mechatronics and robotics |
Byline Affiliations | University of South Australia |
Defence Science and Technology Group, Australia |
https://research.usq.edu.au/item/z772x/characteristics-of-optical-flow-from-aerial-thermal-imaging-thermal-flow
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Journal of Field Robotics - 2022 - Nguyen - Characteristics of optical flow from aerial thermal imaging thermal flow.pdf | ||
License: CC BY-NC 4.0 | ||
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