@inproceedings{24d383ae4bb34ce293b32893b7cf3c14,
title = "Feasibility Study of the Application of OPC UA Protocol for the Vehicle-to-Vehicle Communication",
abstract = "Advanced Driver Assistance Systems (ADAS) support drivers of vehicles in emergency situations and help to save people{\textquoteright}s lives and minimise the losses in accidents. The information from car sensors are collected locally by Controller Area Network (CAN) and then processed by ADAS. The authors focus on a CAN/OPC UA (IEC 62541) gateway that can support vehicle-to-vehicle communication in order to enable cooperation between ADAS in neighbouring vehicles. The authors present proof of the concept of the CAN/OPC UA gateway and propose a relevant OPC UA address space that contains the type hierarchy that allows meta information about sensors to be shared between ADAS. The research part focuses on the communication parameters including reliability, communication delays and the stability of the connection.",
keywords = "Advanced Driver Assistance Systems (ADAS), Control Area Network (CAN), Internet of vehicles, OPC UA (IEC 62541), Smart cars, Vehicle-to-vehicle communication",
author = "Rafa{\l} Cupek and Adam Zi{\c e}bi{\'n}ski and Marek Drewniak and Marcin Fojcik",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 9th International Conference on Computational Collective Intelligence, ICCCI 2017 ; Conference date: 27-09-2017 Through 29-09-2017",
year = "2017",
doi = "10.1007/978-3-319-67077-5\_27",
language = "English",
isbn = "9783319670768",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "282--291",
editor = "Piotr Jedrzejowicz and Gottfried Vossen and Papadopoulos, \{George A.\} and Nguyen, \{Ngoc Thanh\} and Bogdan Trawinski",
booktitle = "Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings",
address = "Germany",
}