RESEARCH PAPERYear 2026

Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving

Jianhua Han; Meng Tian; Jiangtong Zhu; Fan He; Huixin Zhang; Sitong Guo; Dechang Zhu; Hao Tang; Pei Xu; Yuze Guo; Minzhe Niu; Haojie Zhu; Qichao Dong; Xuechao Yan; Siyuan Dong; Lu Hou; Qingqiu Huang; Xiaosong Jia; Hang Xu

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Major category: VLA
Quadrant: Not applicable
Architecture: One Model
Prediction paradigm: Not applicable
Subcategories: Autonomous driving VLA Spatially aware VLA
Source review status: Verified from primary sources

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BibTeX

@InProceedings{percept_wam,
    author    = {Han, Jianhua and Tian, Meng and Zhu, Jiangtong and He, Fan and Zhang, Huixin and Guo, Sitong and Zhu, Dechang and Tang, Hao and Xu, Pei and Guo, Yuze and Niu, Minzhe and Zhu, Haojie and Dong, Qichao and Yan, Xuechao and Dong, Siyuan and Hou, Lu and Huang, Qingqiu and Jia, Xiaosong and Xu, Hang},
    title     = {Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2026},
    pages     = {10642-10655}
}

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