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Practical Method of Low-Light-Level Binocular Ranging Based on Triangulation and Error Correction
Qi Shi; Lei Ma; Yiping Yang
2017-12
会议名称2017 International Conference on Computer Science and Artificial Intelligence (CSAI 2017)
会议日期December 5-7, 2017
会议地点Kalbis Institute, Jakarta, Indonesia
所属项目编号CXJJ-16M109
摘要Reliable target distance measurement at long range during the night is crucial for security surveillance at night. We present a practical method for low-light-level ranging using a motionless stereo vision system. The approach can measure the target distance within 200 meters. Our range finding algorithm uses triangulation to reconstruct target point coordinates, instead of precomputing disparity maps. Trilateration method is adopted to calculate median distance of the target. Based on statistical tests, a biexponential-function-based error correction model is proposed. The distance estimation is corrected to final distance after fitting the model. Ranging error can be dramatically reduced by error correction. Extensive experiments on datasets show that our method achieves excellent ranging performance and is stable in repeatability, the mean relative accuracy is below 1%. 
关键词Low-light-level Image Binocular Stereo Vision Triangulation Trilateration Error Correction
DOIhttps://doi.org/10.1145/3168390.3168417
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收录类别EI
资助项目National Defense Science and Technology Innovation Fund of the Chinese Academy of Sciences
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文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/20406
专题综合信息系统研究中心
通讯作者Yiping Yang
作者单位Institution of Automation, Chinese Academy of Sciences
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GB/T 7714
Qi Shi,Lei Ma,Yiping Yang. Practical Method of Low-Light-Level Binocular Ranging Based on Triangulation and Error Correction[C],2017.
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