To better connect the Artificial Intelligence and Vehicle Control Communities, the SAE set of terms and definitions for Active Safety Systems is used to discuss modern applications of artificial intelligence to Active Safety Systems. This chapter begins with an introduction to the technology enabling Active Safety Systems and its impact on improving on-road safety. A new dataset is introduced that captures the prevalence of Active Safety Systems in the United States (U.S.) automotive industry for the model year 2021. Three different analyses are performed on this dataset to demonstrate its potential value in studying the offered Active Safety Systems in the U.S. automotive industry. Finally, promising Artificial Intelligence applications to the automotive industry are presented from the fields of deep learning, reinforcement learning, and imitation learning. An example of reinforcement learning applied to Automatic Emergency Braking is provided and demonstrates that reinforcement learning agents can learn policies that are effective in avoiding a collision. This chapter concludes that Artificial Intelligence will play a critical role in the future of automotive safety systems.


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    Titel :

    Artificially Intelligent Active Safety Systems


    Weitere Titelangaben:

    Lecture Notes in Intelligent Transportation and Infrastructure


    Beteiligte:
    Murphey, Yi Lu (Herausgeber:in) / Kolmanovsky, Ilya (Herausgeber:in) / Watta, Paul (Herausgeber:in) / Vidano, Trevor (Autor:in) / Assadian, Francis (Autor:in) / Gulati, Nihal (Autor:in)


    Erscheinungsdatum :

    2022-09-08


    Format / Umfang :

    42 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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