Key Highlights of the Session:
1. Levels of Autonomy - An overview of the different levels of vehicle autonomy and how AI enables each level.
2. AI Applications in Automotive - From autonomous driving to predictive maintenance, Mr. Hariharan explained the diverse applications of AI in modern vehicles.
3. Core Technologies - Insight into machine learning, computer vision, sensor fusion, and edge computing as fundamental technologies driving AI-based automotive solutions.
4. Challenges and Future Prospects - Discussion of challenges like data quality, sensor reliability, and public trust, as well as future trends in smart traffic management and cybersecurity.
Conclusion:
The “AI Driven Automotive” event successfully provided participants with a comprehensive understanding of AI’s role in the future of autonomous vehicles. Mr. Harihara’s expertise and practical insights equipped attendees with valuable knowledge on both current AI technologies and future directions, reinforcing IEEE KPRIET VTS’s dedication to fostering awareness of emerging automotive technologies.
KPRIET – An AI Integrated Campus
Preparing future-ready engineers with AI-integrated teaching and learning. KPRIET integrates Artificial Intelligence across teaching, learning, research and innovation to create a smarter, future-ready campus experience for students and faculty.
