A Computer Vision Milky Way Compass
Article
Article Title | A Computer Vision Milky Way Compass |
---|---|
ERA Journal ID | 211776 |
Article Category | Article |
Authors | Tao, Yiting, Lucas, Michael, Perera, Asanka, Teague, Samuel, Warrant, Eric and Chahl, Javaan |
Journal Title | Applied Sciences |
Journal Citation | 13 (10) |
Article Number | 6062 |
Number of Pages | 23 |
Year | 2023 |
Publisher | MDPI AG |
Place of Publication | Switzerland |
ISSN | 2076-3417 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/app13106062 |
Web Address (URL) | https://www.mdpi.com/2076-3417/13/10/6062 |
Abstract | The Milky Way is used by nocturnal flying and walking insects for maintaining heading while navigating. In this study, we have explored the feasibility of the method for machine vision systems on autonomous vehicles by measuring the visual features and characteristics of the Milky Way. We also consider the conditions under which the Milky Way is used by insects and the sensory systems that support their detection of the Milky Way. Using a combination of simulated and real Milky Way imagery, we demonstrate that appropriate computer vision methods are capable of reliably and accurately extracting the orientation of the Milky Way under an unobstructed night sky. The technique presented achieves angular accuracy of better then ±2° under moderate light pollution conditions but also demonstrates that higher light pollution levels will adversely effect orientation estimates by systems depending on the Milky Way for navigation. |
Keywords | biomimetic; navigation; stellar; insect; celestial compass; orientation; anthropogenic light |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 4007. Control engineering, mechatronics and robotics |
Byline Affiliations | School of Engineering |
University of New South Wales | |
Lund University, Sweden | |
Defence Science and Technology Group, Australia |
https://research.usq.edu.au/item/z326w/a-computer-vision-milky-way-compass
Download files
29
total views35
total downloads2
views this month1
downloads this month