14 datasets found

The dataset used in the paper is the CMU Extended Seasons dataset, which is used for visual localization.

The RIO10 dataset consists of 10 scenes. Each scene presents a real indoor environment with different configurations showing several geometric and visual changes encountered in...

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

The 7Scenes and 12Scenes datasets are used for visual localization tasks.

RobotCar Seasons dataset is a revision of the Oxford RobotCar dataset, which features both short-term and long-term environment evolutions, and therefore different conditions....

A light-weight semantic map for visual localization in autonomous driving tasks.

This paper proposes the use of Neural Radiance Fields (NeRF) as a scene representation for visual localization.

The Cambridge Landmarks dataset contains 5 different large outdoor scenes of landmarks in the city of Cambridge.

The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas.

The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas.

The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas.

The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas.

The dataset used in the paper is a self-collected outdoor dataset, which includes scenes with many plants and texture-less areas.

The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas.