AI in Automotive From Autonomous Vehicles to Smart Manufacturing

AI in Automotive From Autonomous Vehicles to Smart Manufacturing

Revolutionizing Transportation and Manufacturing with Artificial Intelligence

About the Book

AI in Automotive: From Autonomous Vehicles to Smart Manufacturing explores the transformative impact of artificial intelligence on the automotive industry. From self-driving cars and intelligent traffic systems to AI-powered manufacturing and predictive maintenance, this book delves into cutting-edge innovations, challenges, and future possibilities shaping mobility and production.

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    • Artificial Intelligence
    • Machine Learning
    • Deep Learning
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About the Author

ALBERT TETTEH ADJEI
ALBERT TETTEH ADJEI

Albert Tetteh Adjei is a passionate software engineer from Ghana with a deep interest in emerging technologies and digital transformation. A graduate of Aptech Computer Education, he specializes in software development and has a keen focus on next-generation wireless technologies, artificial intelligence, and cybersecurity. With a strong background in tech, Albert is dedicated to simplifying complex topics for readers, helping them navigate the ever-evolving digital landscape.

Table of Contents

Table of Contents Chapter 1: Introduction to AI in the Automotive Industry ................ 10 Chapter 2: The Evolution of Autonomous Vehicles ........................... 14 Chapter 3: Key Technologies Behind Self-Driving Cars ...................... 21 Chapter 4: Machine Learning and its Role in Automotive AI ............ 28 Chapter 5: Computer Vision Systems in Vehicles .............................. 34 Chapter 6: Sensor Technologies: LIDAR, RADAR, and Cameras ........ 41 Chapter 7: The Importance of Data in Autonomous Driving............. 50 Chapter 8: Neural Networks and Deep Learning Applications.......... 56 Chapter 9: Real-Time Processing and Edge Computing in Vehicles . 62 Chapter 10: AI for Predictive Maintenance ........................................ 69 Chapter 11: The Role of AI in Vehicle Manufacturing ....................... 77 Chapter 12: Smart Factories and the Automotive Industry .............. 83 Chapter 13: AI in Supply Chain Management .................................... 88 Chapter 14: Quality Control and Defect Detection Using AI ............. 95 Chapter 15: AI in Automotive Design and Development ................ 103 Chapter 16: Human-Machine Interface (HMI) in Modern Vehicles ............................................................................................................ 110 Chapter 17: AI for Enhanced Driver Assistance Systems (ADAS) .... 116 Chapter 18: AI and Vehicle-to-Everything (V2X) Communication .. 122 Chapter 19: Cybersecurity Challenges in Autonomous Vehicles .... 129 Chapter 20: Ethical Considerations in AI-Driven Vehicles ............... 136 8 9 Chapter 21: Regulatory and Legal Aspects of Autonomous Vehicles ............................................................................................................ 144 Chapter 22: The Future of Public Transportation with AI ............... 151 Chapter 23: AI in Ride-Sharing and Mobility Services ..................... 157 Chapter 24: Energy Efficiency and AI in Electric Vehicles ............... 165 Chapter 25: AI-Driven Traffic Management and Smart Cities ......... 173 Chapter 26: AI and the Environmental Impact of Automotive Technologies ...................................................................................... 179 Chapter 27: Case Studies: AI Implementations by Leading Automotive Companies ..................................................................... 186 Chapter 28: Challenges and Limitations of AI in the Automotive Industry .............................................................................................. 193 Chapter 29: The Future Landscape of AI in Automotive ................. 201 Chapter 30: Conclusion: Embracing AI for a Smarter Automotive Future ................................................................................................. 208

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