Peer to Peer Communication Between the Autonomous Vehicles Using Virtual Private Network

K, Guruprasad Y and Guptha M, Dr. Nageswara and S, Dr. Hema (2021) Peer to Peer Communication Between the Autonomous Vehicles Using Virtual Private Network. In: I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.

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Abstract

Autonomous Vehicles based transportation system is the next generation transportation system in each and every country. All the developing and developed countries are very much interested in developing autonomous vehicle based transportation system to avoid the accidents. As per the statistics taken by the road transportation authorities in USA on an average of 60% of the accident are happening purely due to the mistakes of drivers. It is almost same in each and every country. Though strict rules and fines imposed still the problems are growing not reducing. The research on autonomous vehicles transportation system has been initiated almost 10 years back still the results are not found fruitful. As the concept of autonomous vehicles is the combination of both Software and Hardware. Though the Hardware Industry is growing day by day with many latest hardware components which includes IC’s, Sensors, and IOT Devices etc.., to develop latest hard ware components. The possibility of manufacturing autonomous vehicles is improved a lot further, Countries like China, Singapore, USA already started running the trail autonomous transportation system along with driver assistance, but the biggest challenge faced by this autonomous vehicle transport system is with respect to software. Though the software industry growing day by day with many of the latest technologies like Artificial Intelligence, Machine Learning,

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: artificial intelligence autonomous vehicles big data data science iot machine learning
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 21 Jun 2021 08:09
Last Modified: 21 Jun 2021 08:09
URI: https://eprints.eudl.eu/id/eprint/3863

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