EMBAR

Author:
Dr. P Aravind
Assistant Professor, Saranathan College of Engineering, Tamil Nadu, India

Published Date: 24-Aug, 2024

Keywords: Edge computing, autonomous vehicles, real-time data processing, low-latency, machine learning.

Abstract:
Edge computing has emerged as a crucial technology in the development and deployment of autonomous vehicles, addressing the critical need for real-time data processing and low-latency decision-making. Autonomous vehicles rely on a complex array of sensors and computational models to navigate dynamic environments safely. However, traditional cloud computing architectures often introduce delays that can be detrimental to the performance and safety of these systems. Edge computing brings processing power closer to the data source, either on the vehicle itself or at nearby edge servers, significantly reducing latency and enhancing the reliability of autonomous operations. This paper explores the integration of edge computing in autonomous vehicles, evaluating its impact on system performance, addressing the technical challenges in-volved, and discussing future trends that may further enhance the capabilities of these systems. The findings underscore the importance of edge computing in enabling real-time decision-making, improving safety, and paving the way for more advanced autonomous driving technologies.

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