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Abstract
The rapid advancement in automotive technology has significantly elevated the importance of data management and vehicle logging. Modern vehicles have evolved into complex systems capable of generating, processing, and communicating vast amounts of data rather than just modes of transportation. This article presents a complete overview of the architecture and components involved in automotive data management and logging. It delves into the intricacies of data acquisition from sensors, data processing through microcontrollers and real-time operating systems, and the integral role of Engine Control Units (ECUs). Additionally, the paper examines the advancements in edge computing, artificial intelligence, and machine learning in vehicles alongside the critical aspects of data logging, storage, and transmission. The paper also addresses the paramount importance of cybersecurity in the automotive domain. This detailed exploration aims to understand the current state and future trends in vehicle data management systems.
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