Driving into the Future: The Synergy of ADAS and AI in Automobile Engineering

Authors

  • Ajay Anand A Department of Automobile Engineering, JDT Islam Polytechnic College Kozhikode, India

DOI:

https://doi.org/10.61779/jasetm.v2i1.1

Keywords:

Machine Learning, ADAS, Automobile Engineering, Advanced Driver Assistance Systems, Artificial Intelligence (AI)

Abstract

This abstract explores the integration of Advanced Driver Assistance Systems (ADAS) and Artificial Intelligence (AI) in automobile engineering. As automotive technology advances, the synergy between ADAS and AI becomes crucial for enhancing safety, efficiency, and the overall driving experience. The paper discusses ADAS components, such as collision avoidance and adaptive cruise control, highlighting their roles in accident prevention and performance optimization. It also examines the pivotal role of AI, including machine learning and computer vision, in processing data from sensors and cameras for real-time decision-making. The collaboration between ADAS and AI not only enhances safety but also lays the foundation for autonomous vehicle development. This abstract provides a concise overview of automotive engineering advancements, paving the way for a detailed exploration of the interplay between ADAS and AI systems.

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Published

25-03-2024

How to Cite

Anand A, A. . (2024). Driving into the Future: The Synergy of ADAS and AI in Automobile Engineering. Journal of Applied Science, Engineering, Technology and Management, 2(01), 03–08. https://doi.org/10.61779/jasetm.v2i1.1