RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments

For autonomous vehicles (AVs), visual perception techniques based on sensors like cameras play crucial roles in information acquisition and processing. In various computer perception tasks for AVs, it may be helpful to match landmark patches taken by an onboard camera with other landmark patches captured at a different time or saved in a street scene image database.

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Cite this as

Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay (2024). Dataset: RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments. https://doi.org/10.57702/pphcsa6s

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1109/TIP.2023.3318963
Author Rui She
More Authors
Qiyu Kang
Sijie Wang
Yuán-Ruì Yáng
Kai Zhao
Yang Song
Wee Peng Tay