TUM-VIE (TUM Stereo Visual-Inertial Event Dataset)
Introduced by Klenk et al. in TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset
TUM-VIE is an event camera dataset for developing 3D perception and navigation algorithms. It contains handheld and head-mounted sequences in indoor and outdoor environments with rapid motion during sports and high dynamic range. TUM-VIE includes challenging sequences where state-of-the art VIO fails or results in large drift. Hence, it can help to push the boundary on event-based visual-inertial algorithms.
Papers
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