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

Haocheng Xu, Yusheng Ci, Yunfei Long, Ci Liang, Lina Wu, Xiqun Chen, Mohamed Ghazel, Lei Feng

Open source

DOI: 10.1038/s41467-026-75643-z
Published: 2026-07-16
Container: Nature Communications
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

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 = {Haocheng Xu and Yusheng Ci and Yunfei Long and Ci Liang and Lina Wu and Xiqun Chen and Mohamed Ghazel and Lei Feng},
  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  - Haocheng Xu
AU  - Yusheng Ci
AU  - Yunfei Long
AU  - Ci Liang
AU  - Lina Wu
AU  - Xiqun Chen
AU  - Mohamed Ghazel
AU  - Lei Feng
PY  - 2026
JO  - Nature Communications
DO  - 10.1038/s41467-026-75643-z
UR  - https://doi.org/10.1038/s41467-026-75643-z
ER  -

APA

Xu, H., Ci, Y., Long, Y., Liang, C., Wu, L., Chen, X., Ghazel, M., & Feng, L. (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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crossref · retrieved 2026-11-10T15:10:35.367Z