International Journal on Science and Technology

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Artificial Intelligence in Automobile

Author(s) Sanchit Vikas Bhosale, Atharva Kishor Yadav, Rushikesh Gajanan Salunkhe
Country India
Abstract The integration of artificial intelligence (AI) in the automotive industry is revolutionizing various facets of vehicle design, manufacturing, and operation. This paper explores the key areas where AI plays a pivotal role, focusing on autonomous driving, advanced driver assistance systems (ADAS), predictive maintenance, and in-vehicle AI systems. Autonomous driving technologies leverage AI for perception, decision-making, and control, pushing the boundaries toward full vehicle autonomy. ADAS features such as lane-keeping assistance, adaptive cruise control, and emergency braking enhance driver safety by using real-time AI analysis. Furthermore, predictive maintenance systems utilize AI to forecast vehicle component failures, reducing operational downtime and extending vehicle lifespans. In manufacturing, AI improves quality control and supply chain efficiency, while in-vehicle AI systems offer personalized user experiences through voice recognition and augmented reality interfaces. Lastly, AI’s role in smart traffic systems and the sustainability of electric vehicles (EVs) is discussed, highlighting its impact on energy efficiency and traffic optimization. This paper emphasizes how AI-driven advancements are transforming the automotive sector, enhancing safety, efficiency, and sustainability.
Keywords Artificial Intelligence, Autonomous Driving, Predictive Maintenance, Smart traffic Systems, AI driven control Fusion.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-27
Cite This Artificial Intelligence in Automobile - Sanchit Vikas Bhosale, Atharva Kishor Yadav, Rushikesh Gajanan Salunkhe - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2769
DOI https://doi.org/10.71097/IJSAT.v16.i1.2769
Short DOI https://doi.org/g892dj
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