Open AccessA Survey of Blockchain Solutions for Autonomous Vehicles Ecosystems
Author(s) -
Swati Megha,
Hamza Salem,
Enes Ayan,
Manuel Mazzara
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1694/1/012024
Subject(s) - blockchain , categorization , domain (mathematical analysis) , computer science , work (physics) , data science , quality (philosophy) , competition (biology) , field (mathematics) , software , honeypot , computer security , engineering , artificial intelligence , biology , programming language , mechanical engineering , mathematical analysis , ecology , philosophy , mathematics , epistemology , pure mathematics
Since the beginning of the 2010s major car manufacturers progressively started to invest in Autonomous Vehicles(AV). Notable examples are Tesla, Ford, and Toyota. Small startups and tech giants like Google and Yandex are now also entering the competition to propose new solutions. Most of them have already developed their prototypes of driverless vehicles that you can normally observe in the streets of New-York, USA, or Innopolis, Russia. Despite the significant hype on this technology, current solutions are not always optimal and multiple challenges are left open in a domain such as security, data integrity, privacy, and communication. Blockchain is one of the most appealing technologies to be used in this domain since it provides solutions for some of these challenges. In this paper, we describe, categorize, and evaluate different solutions of the Autonomous Vehicles Industry that makes use of Blockchain. We use a software engineering approach to organize the existing work in multiple categories such as challenges addressed, quality attributes promoted. This work is intended to provide researchers in the field with a well-defined and structured categorization, plus insights into the existing literature.