A Method to Deal with Recognition Deviation Based on Trajectory Estimation in Real-Time Seam Tracking

被引：0
|
作者：
Wang, Nianfeng [1 ]
Yin, Suifeng [1 ]
Zhong, Kaifan [1 ]
Zhang, Xianmin [1 ]
机构：
[1] South China Univ Technol, Sch Mech & Automot Engn, Guangdong Prov Key Lab Precis Equipment & Mfg Tec, Guangzhou 510640, Peoples R China
来源：
INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PT II | 2019年 / 11741卷
基金：
中国国家自然科学基金;
关键词：
Real-time seam tracking; Recognition deviation; Deviation judgment; Trajectory estimation; SYSTEM;
D O I：
10.1007/978-3-030-27532-7_34
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In real time seam tracking process, recognition deviation is likely to occur due to various kinds of noise (e.g., reflection and scattering ... ). In this paper, a method to correct deviation via replacing the deviation points with estimated points is proposed. Firstly, according to the characteristic of the real-time seam tracking process, standards for recognition deviation are developed to classify deviation points, and an abnormality judgment strategy is discussed. Then, a method of trajectory estimation is given and the detected trajectory of an abnormal deviation will be replaced with the estimated trajectory. Finally, experiments are conducted to prove the performance of the proposed method.
引用
收藏
页码：381 / 391
页数：11
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