Feature-Based Vehicle Identification Framework for Optimization of Collective Perception Messages in Vehicular Networks-Reference-Cited by-同舟云学术

Feature-Based Vehicle Identification Framework for Optimization of Collective Perception Messages in Vehicular Networks

Published:2023-02 Issue:2 Volume:72 Page:2120-2129
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Masuda Hidetaka¹,Marai Oussama El²^ORCID,Tsukada Manabu¹,Taleb Tarik³^ORCID,Esaki Hiroshi¹

Affiliation:

1. Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

2. Department of Communications and Networking, School of Electrical Engineering, Aalto University, Espoo, Finland

3. Faculty of Information Technology and Electrical Engineering, Oulu University, Oulu, Finland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10043591/09910433.pdf?arnumber=9910433

Reference43 articles.

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2. Cooperative Collision Avoidance for Overtaking Maneuvers in Cellular V2X-Based Autonomous Driving

3. Intelligent transport systems (ITS); Vehicular communications; Basic set of applications; Analysis of the collective perception service (CPS); Release 2,2019

4. An Evolutionary Game Theory-Based Approach to Cooperation in VANETs Under Different Network Conditions

5. Intelligent transport systems (ITS); Vehicular communications; basic set of applications; analysis of the collective perception service (CPS); Release 2,2021

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