Active Map-Matching: Teacher-to-Student Knowledge Transfer from Visual-Place-Recognition Model to Next-Best-View Planner for Active Cross-domain Self-localization

Tanaka Kanji. Active Map-Matching: Teacher-to-Student Knowledge Transfer from Visual-Place-Recognition Model to Next-Best-View Planner for Active Cross-domain Self-localization. In IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2021, Hong Kong, China, June 18-20, 2021. pages 1-6, IEEE, 2021. [doi]

@inproceedings{Kanji21-1,
  title = {Active Map-Matching: Teacher-to-Student Knowledge Transfer from Visual-Place-Recognition Model to Next-Best-View Planner for Active Cross-domain Self-localization},
  author = {Tanaka Kanji},
  year = {2021},
  doi = {10.1109/CIVEMSA52099.2021.9493670},
  url = {https://doi.org/10.1109/CIVEMSA52099.2021.9493670},
  researchr = {https://researchr.org/publication/Kanji21-1},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2021, Hong Kong, China, June 18-20, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1249-0},
}