Geo-localization with transformer-based 2D-3D match network

Abstract:

This letter presents a novel method for geographical localization by registering satellite maps with LiDAR point clouds.

Authors: Laijian Li*, Yukai Ma*, Kai Tang, Xiangrui Zhao, Chao Chen, Jianxin Huang, Jianbiao Mei, and Yong Liu

Paper: Download Here

Citation: L. Li et al., “Geo-Localization With Transformer-Based 2D-3D Match Network,” in IEEE Robotics and Automation Letters, vol. 8, no. 8, pp. 4855-4862, Aug. 2023, doi: 10.1109/LRA.2023.3290526.

BibTex:

@article{li2023ral,
    author={Li, Laijian and Ma, Yukai and Tang, Kai and Zhao, Xiangrui and Chen, Chao and Huang, Jianxin and Mei, Jianbiao and Liu, Yong},
    journal={IEEE Robotics and Automation Letters}, 
    title={Geo-Localization With Transformer-Based 2D-3D Match Network}, 
    year={2023},
    volume={8},
    number={8},
    pages={4855-4862},
    doi={10.1109/LRA.2023.3290526}
}