AI automobiles and Integration

25 Pages Posted: 20 Nov 2024

Date Written: November 01, 2024

Abstract

The integration of artificial intelligence (AI) into the automotive industry represents a significant leap toward transforming vehicle capabilities and driving experiences. This report examines the integration of AI technologies in automobiles, with a particular focus on Tesla's pioneering efforts. Tesla has leveraged AI to develop advanced features such as Full Self-Driving (FSD) capabilities, predictive maintenance, and enhanced driver safety. Through a combination of machine learning algorithms, neural networks, and real-time data analysis, Tesla's AI systems enable autonomous navigation, optimize vehicle performance, and improve user interactions. This report explores the benefits of AI integration, compares Tesla's approach with other industry leaders, and discusses the methodologies employed in the development of AI technologies. Additionally, it addresses the limitations and challenges associated with AI in automotive applications and provides conclusions on the future impact of these innovations. The findings highlight the transformative potential of AI in reshaping the automotive landscape and driving future advancements in vehicle automation and intelligence.

Keywords: AI, automobiles, ML, Tesla, Safety, next-generation vehicles

Suggested Citation

Kapoor, Aditya, AI automobiles and Integration (November 01, 2024). Available at SSRN: https://ssrn.com/abstract=5021516 or http://dx.doi.org/10.2139/ssrn.5021516

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