Paper
21 August 2009 Infrared image guidance for ground vehicle based on fast wavelet image focusing and tracking
Akira Akiyama, Nobuaki Kobayashi, Eiichiro Mutoh, Hideo Kumagai, Hirofumi Yamada, Hiromitsu Ishii
Author Affiliations +
Abstract
We studied the infrared image guidance for ground vehicle based on the fast wavelet image focusing and tracking. Here we uses the image of the uncooled infrared imager mounted on the two axis gimbal system and the developed new auto focusing algorithm on the Daubechies wavelet transform. The developed new focusing algorithm on the Daubechies wavelet transform processes the result of the high pass filter effect to meet the direct detection of the objects. This new focusing gives us the distance information of the outside world smoothly, and the information of the gimbal system gives us the direction of objects in the outside world to match the sense of the spherical coordinate system. We installed this system on the hand made electric ground vehicle platform powered by 24VDC battery. The electric vehicle equips the rotary encoder units and the inertia rate sensor units to make the correct navigation process. The image tracking also uses the developed newt wavelet focusing within several image processing. The size of the hand made electric ground vehicle platform is about 1m long, 0.75m wide, 1m high, and 50kg weight. We tested the infrared image guidance for ground vehicle based on the new wavelet image focusing and tracking using the electric vehicle indoor and outdoor. The test shows the good results by the developed infrared image guidance for ground vehicle based on the new wavelet image focusing and tracking.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Akira Akiyama, Nobuaki Kobayashi, Eiichiro Mutoh, Hideo Kumagai, Hirofumi Yamada, and Hiromitsu Ishii "Infrared image guidance for ground vehicle based on fast wavelet image focusing and tracking", Proc. SPIE 7429, Novel Optical Systems Design and Optimization XII, 742906 (21 August 2009); https://doi.org/10.1117/12.825915
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KEYWORDS
Infrared cameras

Infrared imaging

Infrared radiation

Linear filtering

Wavelet transforms

Wavelets

Algorithm development

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