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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
Conference Name2017 International Conference on Computer Science and Artificial Intelligence (CSAI 2017)
Conference DateDecember 5-7, 2017
Conference PlaceKalbis Institute, Jakarta, Indonesia
Project NumberCXJJ-16M109
AbstractReliable 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%. 
KeywordLow-light-level Image Binocular Stereo Vision Triangulation Trilateration Error Correction
DOIhttps://doi.org/10.1145/3168390.3168417
URL查看原文
Indexed ByEI
Funding ProjectNational Defense Science and Technology Innovation Fund of the Chinese Academy of Sciences
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Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20406
Collection综合信息系统研究中心
Corresponding AuthorYiping Yang
AffiliationInstitution of Automation, Chinese Academy of Sciences
Recommended Citation
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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