Research and Analysis on the Application of Artificial Intelligence Technology in the Automotive Field

In recent years, the fast development of artificial intelligence (AI) technology has brought remarkable transformative power to the global automotive industry. This promotes the industry to shift from traditional manufacturing to intelligent and connected operations. This paper focuses on how AI is applied in the automotive field and its current development situation. It sorts out the main types of AI technology in a systematic way, analyzes how these technologies are put into use in real situations, and further studies the technical problems and future development trends faced by the industry. First, by looking into 10 high-quality studies from 2021 to 2024, we summarize five core AI technologies used in vehicles. These include multi-sensor fusion, context-aware voice interaction, and AI-supported predictive maintenance. Second, with specific data and company cases, this paper discusses the actual effects of these technologies in autonomous driving, intelligent cockpit, and fleet management. Finally, it points out key challenges like data security and high implementation costs, and puts forward prospects for the integration of multi-modal AI and the intelligence supported by V2X. This review offers comprehensive references for researchers and automotive companies to understand the current situation and development direction of AI in the automotive field.