Message from the EiC |
Welcome to the May 2022 issue of VTS Mobile World – your IEEE Vehicular Technology Society newsletter.
This issue features timely articles from the experts—taken from the Connected and Automated Vehicles, Mobile Radio, and Transportation Systems columns in the IEEE Vehicular Technology Magazine March 2022 issue—and also two Early Access papers from the IEEE Transactions on Vehicular Technology and the IEEE Open Journal of Vehicular Technology.
As always, I am always available to hear your feedback; just send me a note at Richard.Yu@ieee.org. Read More... |
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Upcoming Events |
IEEE VTC2022-Fall: London and Beijing |
The 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) will be held 26 – 29 September 2022.
The deadline for regular papers is 10 July 2022; tutorial proposals and workshop proposals are due 30 June 2022. Read More... |
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Connected and Automated Vehicles |
Korea Invests in DSRC Technology |
Katrin Sjoberg |
Korea has initiated a road infrastructure project for enhancing road traffic safety along its major road network by introducing dedicated short-range communication (DSRC). Read More... |
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Mobile Radio |
PT/EXPO China 2021 Demos First TSN Deterministic Network |
Claudio Casetti |
On 29 September 2021, ZTE Corporation, China Mobile, and NR Electric jointly released the industry’s first end-to-end 5G Time-Sensitive Networking (TSN) deterministic network at the PT/EXPO China 2021. Read More... |
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Transportation Systems |
San Diego Welcomes New Trolley Extension |
The San Diego Mid-Coast Trolley Extension to the University Community area opened in 21 November 2021. Over 8,500 attendees enjoyed free rides during the Grand Opening Celebration. Read More... |
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From the IEEE Open Journal of Vehicular Technology |
Point Cloud Registration of CVs |
Hongyu Li, Hansi Liu, Hongsheng Lu, Bin Cheng, Marco Gruteser, and Takayuki Shimizu |
This paper proposes a two-phase point cloud registration mechanism to fuse point clouds which focuses on key objects in the scene where the point clouds are most similar, then infers the transformation from them. Read More... |
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From the IEEE Transactions on Vehicular Technology |
MADRL for CAVs at Tomorrow’s Intersections |
Antonio Guillen-Perez and Maria-Dolores Cano |
In this paper, we present a new advanced approach to AIM based on end-to-end Multi-Agent Deep Reinforcement Learning (MADRL) and trained via Curriculum through Self-Play, called advanced Reinforced AIM (adv.RAIM). Read More... |
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Editor-in-Chief
F. Richard Yu
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