Improving the Performance of Autonomous Vehicles through Data Engineering, Machine Learning, AI, and Integrated Hardware-Software Solutions

Brahma Reddy Katam1

1

Publication Date: 2024/08/17

Abstract: The advancement of autonomous vehicles (AVs) heavily relies on their ability to process high volumes of sensor data and make real-time decisions. This paper explores how the integration of data engineering, machine learning (ML), artificial intelligence (AI), and a cohesive hardware-software approach can further enhance the performance and safety of AVs. We propose a comprehensive framework that leverages advanced data engineering techniques for efficient data management, employs state-of-the-art ML models for accurate perception and prediction, and utilizes AI- driven strategies for decision-making and control. The proposed solutions are designed to be effective in areas with limited internet connectivity and can operate on low- powered hardware, even with outdated software.

Keywords: Autonomous Vehicles, Data Engineering, Machine Learning, Artificial Intelligence, Hardware- Software Integration.

DOI: https://doi.org/10.38124/ijisrt/IJISRT24AUG085

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24AUG085.pdf

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