Efficient Driving of Tracking Robot Using Kalman Filters

被引：0

作者：

Chen, Hu ^{[1
]}

Lim, Hyun-Seop ^{[1
]}

Hwang, Seung-iIk ^{[1
]}

Lee, Jang-Myung ^{[1
]}

机构：

[1] Pusan Natl Univ, Dept Elect Engn, Pusan 609735, South Korea

来源：

2013 13TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2013) | 2013年

关键词：

Kalman filter; Mobile robot trajectory; Tracking robot;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Path planning of mobile robot has a purpose to design an optimal path from initial position to target point. Driving distance is considered when choose the optimal path. In this paper, we proposed efficient driving trajectory when mobile robot follows moving object in real time. First, position and distance of moving object can be acquired using one web camera and rotation angular velocity, linear velocity is estimated using Kalman filter to predict trajectory of moving object. Finally mobile robot follows moving object using proposed tracking control method by estimating trajectory of moving object.

引用

页码：119 / 123

页数：5

共 9 条

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[2]

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[3]

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[7]

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[8]

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[9]

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