GA2AD: a generalized adaptive adversarial training framework considering surrounding hybrid risk field for autonomous driving.

Xu H, Ci Y, Long Y, Liang C, Wu L, Chen X, Ghazel M, Feng L

Open source

DOI
10.1038/s41467-026-75643-z
Published
2026 Jul 16
Container
Nature communications
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41467-026-75643-z,
  title = {GA2AD: a generalized adaptive adversarial training framework considering surrounding hybrid risk field for autonomous driving.},
  author = {Xu H and Ci Y and Long Y and Liang C and Wu L and Chen X and Ghazel M and Feng L},
  year = {2026},
  journal = {Nature communications},
  doi = {10.1038/s41467-026-75643-z},
  url = {https://doi.org/10.1038/s41467-026-75643-z}
}

RIS

TY  - JOUR
TI  - GA2AD: a generalized adaptive adversarial training framework considering surrounding hybrid risk field for autonomous driving.
AU  - Xu H
AU  - Ci Y
AU  - Long Y
AU  - Liang C
AU  - Wu L
AU  - Chen X
AU  - Ghazel M
AU  - Feng L
PY  - 2026
JO  - Nature communications
DO  - 10.1038/s41467-026-75643-z
UR  - https://doi.org/10.1038/s41467-026-75643-z
ER  -

APA

H, X., Y, C., Y, L., C, L., L, W., X, C., M, G., & L, F. (2026). GA2AD: a generalized adaptive adversarial training framework considering surrounding hybrid risk field for autonomous driving.. Nature communications. https://doi.org/10.1038/s41467-026-75643-z

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