Practical Method of Low-Light-Level Binocular Ranging Based on Triangulation and Error Correction | |
Qi Shi![]() | |
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 |
DOI | https://doi.org/10.1145/3168390.3168417 |
URL | 查看原文 |
收录类别 | EI |
资助项目 | National Defense Science and Technology Innovation Fund of the Chinese Academy of Sciences |
引用统计 | |
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 |
推荐引用方式 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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Practical Method of (397KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论