17 datasets found

The EuRoC micro aerial vehicle datasets are a collection of datasets for visual-inertial odometry and SLAM.

The paper discusses the 3D Grid dataset for SLAM.

The paper discusses the MIT, Intel, CSAIL, and Sphere 2500 datasets for SLAM.

The paper discusses the EuRoC dataset for SLAM.

The KITTI Visual Odometry benchmark dataset consists of 22 stereo sequences with ground truth trajectories.

This dataset is a benchmark for the evaluation of RGB-D SLAM systems.

The KITTI odometry dataset is a collection of 22 sequences, containing point clouds, images, and GPS recordings of inner-city traffic, residential areas, highway scenes, and...

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

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...

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.

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

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

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.

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...

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

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...

The MITI Dataset provides multimodal sensor information from IMU, stereoscopic video, and infrared IR tracking as ground truth for evaluating SLAM/SfM/3D...