36 datasets found

Tags: SLAM

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  • Indoor Environment Dataset

    The dataset used in this paper is a 120m×120m×20m indoor environment.
  • Outdoor Environment Dataset

    The dataset used in this paper is a 120m×120m×20m outdoor environment consisting of a ground and multiple irregular 3D buildings.
  • TUM RGB-D Dataset

    A benchmark for the evaluation of RGB-D SLAM systems.
  • MotionGS

    A 3DGS-based SLAM approach that integrates deep visual features, dual keyframe selection, and 3DGS.
  • TUM dynamic objects dataset

    The dataset used for testing the proposed Semantic Flow-guided motion removal method for robust mapping.
  • KITTI odometry dataset

    The KITTI odometry dataset is a benchmark for evaluating visual odometry and other computer vision tasks. It contains a large collection of images and corresponding ground-truth...
  • TUM-RGBD

    The dataset used in the Loopy-SLAM paper, consisting of RGBD videos of indoor scenes.
  • LF-VISLAM

    The dataset used in the paper for LF-VISLAM, a SLAM framework for large field-of-view cameras with negative imaging plane on mobile agents.
  • SLAM

    The SLAM dataset is a collection of images and their corresponding 3D point clouds, used for training and testing SLAM algorithms.
  • ICL-NUIM

    The dataset used in this paper is an ICL-NUIM dataset, which contains images and depth maps.
  • LiDAR and Floor Plan Dataset

    The dataset used in this paper is a collection of LiDAR images and floor plans, used to evaluate the performance of the proposed SLAM algorithm.
  • Habitat-Matterport 3D Dataset (HM3D)

    The HM3D dataset is a large-scale 3D environment dataset, consisting of 1000 large-scale 3D environments for embodied AI. The dataset is used to evaluate the performance of SLAM...
  • KinectFusion

    The KinectFusion dataset is a real-time dense surface mapping and tracking system.
  • Replica dataset

    The Replica dataset provides real-world scenes which we use to evaluate and compare our approach with related work. The dataset consists of high quality 3D reconstructions of 5...
  • 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...
  • Leibniz University Hannover

        Imported    

    i.c.sens Visual-Inertial-LiDAR Dataset

    The i.c.sens Visual-Inertial-LiDAR Dataset is a data set for the evaluation of dead reckoning or SLAM approaches in the context of mobile robotics. It consists of street-level...
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