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

doi:doi:10.57702/pphcsa6s

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.

BibTex:

@dataset{Rui_She_and_Qiyu_Kang_and_Sijie_Wang_and_Yuán-Ruì_Yáng_and_Kai_Zhao_and_Yang_Song_and_Wee_Peng_Tay_2024,
    abstract = {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.},
    author = {Rui She and Qiyu Kang and Sijie Wang and Yuán-Ruì Yáng and Kai Zhao and Yang Song and Wee Peng Tay},
    doi = {10.57702/pphcsa6s},
    institution = {No Organization},
    keyword = {'graph neural networks', 'landmark objects', 'neural diffusion', 'patch matching', 'street scene'},
    month = {dec},
    publisher = {TIB},
    title = {RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments},
    url = {https://service.tib.eu/ldmservice/dataset/robustmat--neural-diffusion-for-street-landmark-patch-matching-under-challenging-environments},
    year = {2024}
}