Paper
24 October 2017 Design of a visible optical passive ranging system based on micro main board
Jin-bao Yang, Chen Yang, Ya-chao Liu, Ya-jun Song
Author Affiliations +
Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104620O (2017) https://doi.org/10.1117/12.2282585
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
A design scheme of a visible optical passive ranging system based on micro main board was presented. In this system, all the software logic including the passive ranging algorithm based on target feature size was concentrated on the computer motherboard. The hardware part only completed the function execution and physical support, which could greatly improve the product integration degree, and reduce the volume and weight of the product. The system mainly included high definition imaging sensor unit, active laser night vision unit and signal processing unit. Through the design of hardware and software, the system could realize passive ranging. The system adopted the 980nm laser night vision technology which is invisible to the human eyes. The technology with good concealment could realize the image situation awareness and information acquisition at night. Through passive ranging experimental verification, the ranging accuracy of the system prototype was less than 10%. With the current hardware configuration parameters, the ranging distance to the person was more than 1km with good robustness and stable performance. The actual engineering practice can be widely used in all-weather situation awareness and optical passive ranging of target.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jin-bao Yang, Chen Yang, Ya-chao Liu, and Ya-jun Song "Design of a visible optical passive ranging system based on micro main board", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620O (24 October 2017); https://doi.org/10.1117/12.2282585
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KEYWORDS
Image visualization

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