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TUM VI Benchmark
The TUM VI benchmark datasets are a collection of visual-inertial odometry datasets. -
Visual-Inertial Odometry (VIO) dataset
A dataset used for training a recurrent neural network (RNN) to infer positional uncertainties for a model predictive control (MPC) algorithm. -
MITI Dataset
The MITI Dataset provides multimodal sensor information from IMU, stereoscopic video, and infrared IR tracking as ground truth for evaluating SLAM/SfM/3D...