A review of visual odometry for intelligent vehicles

Yan Hua Jiang; Guang Ming Xiong; Yan Jiang; Jian Wei Gong; Hui Yan Chen

A review of visual odometry for intelligent vehicles

Yan Hua Jiang^*, Guang Ming Xiong, Yan Jiang, Jian Wei Gong, Hui Yan Chen

^*此作品的通讯作者

机械与车辆学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文献综述 › 同行评审

3 引用（Scopus）

摘要

Algorithms of the visual odometry for intelligent vehicles are reviewed. Firstly, the basic principle of the visual odometry is introduced. Secondly, the classification and comparison are made according to types of visual information, the configuration of cameras and the calculation framework. Thirdly, the key techniques including feature selection and matching, robust motion estimation in two-frame visual odometry system are analyzed. Finally the development trends of the visual odometry algorithms are discussed.

源语言	英语
页（从-至）	214-220
页数	7
期刊	Binggong Xuebao/Acta Armamentarii
卷	33
期	2
出版状态	已出版 - 2月 2012

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Jiang, Y. H., Xiong, G. M., Jiang, Y., Gong, J. W., & Chen, H. Y. (2012). A review of visual odometry for intelligent vehicles. Binggong Xuebao/Acta Armamentarii, 33(2), 214-220.

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abstract = "Algorithms of the visual odometry for intelligent vehicles are reviewed. Firstly, the basic principle of the visual odometry is introduced. Secondly, the classification and comparison are made according to types of visual information, the configuration of cameras and the calculation framework. Thirdly, the key techniques including feature selection and matching, robust motion estimation in two-frame visual odometry system are analyzed. Finally the development trends of the visual odometry algorithms are discussed.",

keywords = "Information processing, Intelligent vehicles, Motion estimation, Visual odometry",

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AB - Algorithms of the visual odometry for intelligent vehicles are reviewed. Firstly, the basic principle of the visual odometry is introduced. Secondly, the classification and comparison are made according to types of visual information, the configuration of cameras and the calculation framework. Thirdly, the key techniques including feature selection and matching, robust motion estimation in two-frame visual odometry system are analyzed. Finally the development trends of the visual odometry algorithms are discussed.

KW - Information processing

KW - Intelligent vehicles

KW - Motion estimation

KW - Visual odometry

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A review of visual odometry for intelligent vehicles

摘要

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