| FUNDAMENTAL AREAS OF PHENOMENOLOGY(INCLUDING APPLICATIONS) |
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Visual Passive Ranging Method Based on Re-entrant Coaxial Optical Path and Experimental Verification |
| Jin-Bao Yang1,2,4**, Jian-Guo Liu1,2, Ning-Hua Zhu1,3, Li-Juan Yu1 |
1Laboratory of Solid State Optoelectronic Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083
2School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049
3College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049
4Science and Technology on Optical Radiation Laboratory, Beijing Institute of Environmental Features, Beijing 100854
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| Cite this article: |
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Jin-Bao Yang, Jian-Guo Liu, Ning-Hua Zhu et al 2017 Chin. Phys. Lett. 34 124202 |
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Abstract To overcome the shortcomings of the traditional passive ranging technology based on image, such as poor ranging accuracy, low reliability and complex system, a new visual passive ranging method based on re-entrant coaxial optical path is presented. The target image is obtained using double cameras with coaxial optical path. Since there is imaging optical path difference between the cameras, the images are different. In comparison of the image differences, the target range could be reversed. The principle of the ranging method and the ranging model are described. The relationship among parameters in the ranging process is analyzed quantitatively. Meanwhile, the system composition and technical realization scheme are also presented. Also, the principle of the method is verified by the equivalent experiment. The experimental results show that the design scheme is correct and feasible with good robustness. Generally, the ranging error is less than 10% with good convergence. The optical path is designed in a re-entrant mode to reduce the volume and weight of the system. Through the coaxial design, the visual passive range of the targets with any posture can be obtained in real time. The system can be widely used in electro-optical countermeasure and concealed photoelectric detection.
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Received: 12 June 2017
Published: 24 November 2017
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| PACS: |
42.30.Tz
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(Computer vision; robotic vision)
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42.30.Va
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(Image forming and processing)
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| Fund: Supported by the National Basic Research Program of China under Grant No 2014CB340102. |
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