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ENTITY Monocular Visual-Inertial Odometry with an Unbiased Linear System Model and Robust Feature Tracking Front-End

Monocular Visual-Inertial Odometry with an Unbiased Linear System Model and Robust Feature Tracking Front-End

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    KLTNet improves sparse feature tracking for visual-inertial odometry

    Researchers have developed KLTNet, a new learning-based sparse feature tracker designed to enhance monocular visual-inertial odometry (VIO) systems. This plug-and-play tracker aims to replace traditional KLT trackers, w…