Advance Vehicle and Driver Profile Management Using Cloud Frameworks
DOI:
https://doi.org/10.17762/jaz.v44iS6.2249Keywords:
Cloud Computing, Fleet Management, Vehicle to Vehicle Communication (V2V), LiDAR, Artificial Intelligence (AI), Machine Learning (ML), Long Term Evolution (LTE), 5G, Original Equipment Manufacturer, NFC (Near Field Communication), BLE (Bluetooth Low Energy), Ultra-Wide Band (UWB).Abstract
Advancements in semiconductor technology, embedded automotive computing, AI/ML computing and cloud computing has recently helped automotive industry to reach to provide the next generation vehicular experience such as self-driving cars, advanced safety features, cloud-based fleet management, highly efficient automotive manufacturing, connected cars, telematics and many more. Automotive or vehicular industry also started focus on providing better driving experience, in vehicle connectivity, entertainment, remote vehicle diagnostics and driver assistance, etc. Automotive cloud computing is one such domain which helped automotive industry to scale itself to connect the vehicles to cloud and remotely manage and control the vehicles, provide emergency assistance, data science and analytics services to dealers, insurance companies, car manufacturers, fleet management, etc. In this paper we present the research of recent advancements of automotive industry especially using cloud computing and how the cloud computing frameworks are making huge impact on auto industry such as advance driver’s profiles management using cloud framework. This paper also discusses the implementation approach for electronically managing the vehicle and driver’s preferences for their next generation electric and hybrid vehicles. And the paper proposes the smartphone’s NFC or BLE based driver’s profiles management approach.
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Copyright (c) 2023 Nitin Narayan Shelar, P V Bhaskar Reddy

This work is licensed under a Creative Commons Attribution 4.0 International License.