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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. -
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... -
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...