Automated driving is considered a key technology for reducing traffic accidents, improving road utilization, and enhancing transportation economy and thus has received extensive attention from academia and industry in recent years. Although recent improvements in artificial intelligence are beginning to be integrated into vehicles, current AD technology is still far from matching or exceeding the level of human driving ability. The key technologies that need to be developed include achieving a deep understanding and cognition of traffic scenarios and highly intelligent decision-making. Automated Vehicles, the Driving Brain, and Artificial Intelligence addresses brain-inspired driving and learning from the human brain's cognitive, thinking, reasoning, and memory abilities. This report presents a few unaddressed issues related to brain-inspired driving, including the cognitive mechanism, architecture implementation, scenario cognition, policy learning, testing, and validation. Click here to access the full SAE EDGE TM Research Report portfolio.


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    Title :

    Automated Vehicles, the Driving Brain, and Artificial Intelligence


    Contributors:
    Zheng, Ling (author)

    Publication date :

    2022-11-16




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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