Method for Visual Localization of Oil and Gas Wellhead Based on Distance Function of Projected Features

• Published in: International journal of automation and computing Vol. 14; no. 2; pp. 147 - 158
• Main Authors: Xie, Ying, Yang, Xiang-Dong, Liu, Zhi, Ren, Shu-Nan, Chen, Ken
• Format: Journal Article
• Language: English
• Published: Beijing Institute of Automation, Chinese Academy of Sciences 01.04.2017; Springer Nature B.V
• Subjects: Algorithms; Blurring; CAE) and Design; Computer Applications; Computer-Aided Engineering (CAD; Control; Cylinders; Engineering; Localization; Localization method; Mechatronics; Natural gas; Occlusion; Parameters; Research Article; Robotics; Smog; Synthetic data; Wellheads; 井口; 参数向量; 可视化; 图像信息; 定位方法; 投影特征; 油气; 距离函数; 3D object localization; distance function of projected features; random sample consensus (RANSAC); model based pose estimation; Robot vision; visual localization; nonlinear least squares

A localization method based on distance function of projected features is presented to solve the accuracy reduction or failure problem due to occlusion and blurring caused by smog, when dealing with vision based localization for target oil and gas wellhead （OGWH）. Firstly, the target OGWH is modeled...