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

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Review article › peer-review

3 Citations (Scopus)

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.

Original language	English
Pages (from-to)	214-220
Number of pages	7
Journal	Binggong Xuebao/Acta Armamentarii
Volume	33
Issue number	2
Publication status	Published - Feb 2012

Keywords

Information processing
Intelligent vehicles
Motion estimation
Visual odometry

Cite this

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title = "A review of visual odometry for intelligent vehicles",

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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AU - Gong, Jian Wei

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N2 - 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.

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

UR - https://www.scopus.com/pages/publications/84863258938

M3 - Review article

AN - SCOPUS:84863258938

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A review of visual odometry for intelligent vehicles

Abstract

Keywords

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