Deep Object Centric Policies for Autonomous Driving

    Dequan Wang
    Dequan Wang
    Qi-Zhi Cai
    Qi-Zhi Cai

    arXiv: Artificial Intelligence, Volume abs/1811.05432, 2018.

    Cited by: 26|Bibtex|Views23|Links
    EI

    Abstract:

    While learning visuomotor skills in an end-to-end manner is appealing, deep neural networks are often uninterpretable and fail in surprising ways. For robotics tasks, such as autonomous driving, models that explicitly represent objects may be more robust to new scenes and provide intuitive visualizations. We describe a taxonomy of models...More

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