Smart City Gnosys

Smart city article details

Title	Towards Autonomous Driving: Technologies And Data For Vehicles-To-Everything Communication
ID_Doc	58036
Authors	Ušinskis V.; Makulavičius M.; Petkevičius S.; Dzedzickis A.; Bučinskas V.
Year	2024
Published	Sensors, 24, 11
DOI	http://dx.doi.org/10.3390/s24113411
Abstract	Autonomous systems are becoming increasingly relevant in our everyday life. The transportation field is no exception and the smart cities concept raises new tasks and challenges for the development of autonomous systems development which has been progressively researched in literature. One of the main challenges is communication between different traffic objects. For instance, a mobile robot system can work as a standalone autonomous system reacting to a static environment and avoiding obstacles to reach a target. Nevertheless, more intensive communication and decision making is needed when additional dynamic objects and other autonomous systems are present in the same working environment. Traffic is a complicated environment consisting of vehicles, pedestrians, and various infrastructure elements. To apply autonomous systems in this kind of environment it is important to integrate object localization and to guarantee functional and trustworthy communication between each element. To achieve this, various sensors, communication standards, and equipment are integrated via the application of sensor fusion and AI machine learning methods. In this work review of vehicular communication systems is presented. The main focus is the researched sensors, communication standards, devices, machine learning methods, and vehicular-related data to find existing gaps for future vehicular communication system development. In the end, discussion and conclusions are presented. © 2024 by the authors.
Author Keywords	communications; machine learning; sensors; vehicle technologies

Similar Articles

Id	Similarity	Authors	Title	Published
32714	0.883	Boubakri A.; Gammar S.M.	Inter-Platoons Communication In Autonomous Vehicles: A Survey	2022 International Wireless Communications and Mobile Computing, IWCMC 2022 (2022)
43501	0.882	Zawodny M.; Kruszyna M.	Proposals For Using The Advanced Tools Of Communication Between Autonomous Vehicles And Infrastructure In Selected Cases	Energies, 15, 18 (2022)
10106	0.874	Raj R.; Kumar A.; Mandloi A.; Pal R.	Applications Of Machine Learning And 5G New Radio Vehicle-To-Everything Communication In Smart Cities	Signals and Communication Technology, Part F1293 (2024)
52663	0.873	Pau G.; Severino A.; Canale A.	Special Issue "New Perspectives In Intelligent Transportation Systems And Mobile Communications Towards A Smart Cities Context"	Future Internet, 11, 11 (2019)
51098	0.872	Khanmohamadi M.; Guerrieri M.	Smart Intersections And Connected Autonomous Vehicles For Sustainable Smart Cities: A Brief Review	Sustainability (Switzerland), 17, 7 (2025)
7053	0.869	Singh R.; Kumar R.; Singh A.; Vijay R.; Khan R.L.; Ather D.	Ai-Driven Vanets For Iot-Enabled Transportation Systems	Communications in Computer and Information Science, 2308 CCIS (2025)
33199	0.868	Boubakri A.; Mettali Gammar S.	Intra-Platoon Communication In Autonomous Vehicle: A Survey	2020 9th IFIP International Conference on Performance Evaluation and Modeling in Wireless Networks, PEMWN 2020 (2020)
52465	0.868	Bwalya K.J.	Spatial Intelligence And Vehicle-To-Vehicle Communication: Topologies And Architectures	Connected Vehicles in the Internet of Things: Concepts, Technologies and Frameworks for the IoV (2020)
49871	0.867	Saleem M.; Abbas S.; Ghazal T.M.; Adnan Khan M.; Sahawneh N.; Ahmad M.	Smart Cities: Fusion-Based Intelligent Traffic Congestion Control System For Vehicular Networks Using Machine Learning Techniques	Egyptian Informatics Journal, 23, 3 (2022)
16142	0.866	Wang J.; Topilin I.; Feofilova A.; Shao M.; Wang Y.	Cooperative Intelligent Transport Systems: The Impact Of C-V2X Communication Technologies On Road Safety And Traffic Efficiency	Sensors, 25, 7 (2025)