With the advancement of technology and the improvement of people's living standards, intelligent vehicles have gradually become an important component of modern transportation. However, traditional intelligent vehicles still face issues such as low accuracy in speech recognition and the need to improve safety in different scenarios in terms of safety and protection. This article aimed to explore the application value of artificial intelligence (AI) technology in the safety and protection of intelligent vehicles, in order to better meet the actual needs of current vehicles. In the article, a vehicle recognition model was first constructed using convolutional neural networks, and then the database was expanded and classified through data augmentation. Research the security architecture of smart cars to protect car data and privacy. Finally, the algorithm is compared with traditional algorithms to verify its application in the safety and protection of smart cars. Experimental results show that in the case of 10,000 sound sources, the algorithm proposed in this article can obtain an accuracy of 93.26%, while the traditional method is only 79.84 %. Research has shown that the method proposed in this article has higher accuracy in intelligent vehicle speech recognition, and its driving safety is also higher. Research has demonstrated the importance of artificial intelligence technology in the safety and protection of intelligent vehicles, providing more feasible methods for promoting the more comprehensive development of intelligent vehicles.


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    Titel :

    Exploration of Artificial Intelligence Technology in Safety and Protection of Intelligent Vehicles


    Beteiligte:
    Yang, Hongtao (Autor:in) / Hou, Weichun (Autor:in) / Sun, Yongli (Autor:in) / Liu, Huiyan (Autor:in)


    Erscheinungsdatum :

    26.07.2024


    Format / Umfang :

    247709 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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