Visual Odometry Revisited: What Should Be Learnt?

    Zhan Huangying
    Zhan Huangying
    Weerasekera Chamara Saroj
    Weerasekera Chamara Saroj
    Bian Jiawang
    Bian Jiawang
    Cited by: 0|Bibtex|Views3|Links

    Abstract:

    In this work we present a monocular visual odometry (VO) algorithm which leverages geometry-based methods and deep learning. Most existing VO/SLAM systems with superior performance are based on geometry and have to be carefully designed for different application scenarios. Moreover, most monocular systems suffer from scale-drift issue. ...More

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