Ground-to-2.5D map geolocalization dataset

The dataset is a large-scale ground-to-2.5D map geolocalization dataset, consisting of 113767 panoramic images and geo-tagged multi-modal maps, covering multiple cities.

Data and Resources

Cite this as

Mengjie Zhou, Liu Liu, Yiran Zhong, Andrew Calway (2024). Dataset: Ground-to-2.5D map geolocalization dataset. https://doi.org/10.57702/5n6b1031

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2308.05993
Author Mengjie Zhou
More Authors
Liu Liu
Yiran Zhong
Andrew Calway
Homepage https://github.com/ZhouMengjie/2-5DMap-Dataset