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Angle Estimation Using Infrared Camera in Outdoor Environment
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DOI：10.1109/ACCESS.2024.3435500.png)
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摘要
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This paper presents a novel method for angle estimation using an infrared (IR) camera in outdoor environments. The technique leverages the inherent advantages of IR imaging, such as its ability to function in low-light and varying weather conditions, making it suitable for applications requiring robust performance in challenging settings. The proposed method involves capturing IR images of the surrounding environment and determining angular positions based on the isothermal lines in the sky from differences in spectral emissivity using visual algorithms. Experimental results demonstrate the effectiveness of the approach, highlighting its potential for use in various fields, such as extended period navigation and guidance of high-altitude aerial vehicles. The study also addresses challenges related to IR imaging in outdoor conditions and proposes solutions to mitigate these issues, ensuring reliable angle estimation.
Keyword:
Cameras
Clouds
Calibration
Isothermal processes
Image edge detection
Estimation
Computer vision
Inertial sensors
Infrared imaging
Autonomous aerial vehicles
Quadrotors
inertial sensors
infrared imaging
autonomous aerial vehicles
quadrotors
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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引用论文
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