Search Results for author: Yeoeun Lee

Found 1 papers, 0 papers with code

An Empirical Evaluation of Four Off-the-Shelf Proprietary Visual-Inertial Odometry Systems

no code implementations14 Jul 2022 Jungha Kim, Minkyeong Song, Yeoeun Lee, Moonkyeong Jung, Pyojin Kim

Commercial visual-inertial odometry (VIO) systems have been gaining attention as cost-effective, off-the-shelf six degrees of freedom (6-DoF) ego-motion tracking methods for estimating accurate and consistent camera pose data, in addition to their ability to operate without external localization from motion capture or global positioning systems.

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