8 datasets found

Groups: Visual Odometry

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  • KITTI Odometry

    The dataset used in the paper is a large-scale point cloud compression framework, which can organize sparse and un-structured point clouds in a memory-efficient way.

  • iBIMS-1 dataset

    The iBIMS-1 dataset used for testing the CodedVO method, containing five zero-shot scenes.

  • ICL-NUIM dataset

    The ICL-NUIM dataset used for testing the CodedVO method, containing two scenes: (of-krt2) and (lr-krt2).

  • UMD-CodedVO dataset

    The dataset used for training and testing the CodedVO method, containing three indoor sequences: LivingRoom, DiningRoom, and Corridor.

  • NYUv2 dataset

    The NYUv2 dataset is a large-scale dataset for 3D object recognition and semantic segmentation. It contains 206 test set video sequences with 135 classes.

  • ICL-NUIM

    The dataset used in this paper is an ICL-NUIM dataset, which contains images and depth maps.

  • KITTI 2012

    KITTI 2012 is a real-world dataset in the outdoor scenario, and contains 194 training and 195 testing stereo image pairs with the size of 376 × 1240.

  • KITTI dataset

    The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...