Results 221 to 230 of about 16,042 (256)
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Localization in V2X communication networks

2016 IEEE Intelligent Vehicles Symposium (IV), 2016
This paper addresses the problem of vehicle position estimation in dense urban environments, where traditional global positioning system (GPS)-based localisation techniques are severely affected by non line-of-sight (NLOS) signal propagation and multipaths presence. Assuming that GPS signals are fairly received only by a very small fraction of vehicles
Alireza Ghods 0001   +2 more
openaire   +1 more source

V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models

Transportation Research Part C: Emerging Technologies
Vehicle-to-everything (V2X) cooperation has emerged as a promising paradigm to overcome the perception limitations of classical autonomous driving by leveraging information from both ego-vehicle and infrastructure sensors.
Junwei You   +8 more
semanticscholar   +1 more source

LTE-V2X (C-V2X) Performance in Congested Highway Scenarios

ICC 2022 - IEEE International Conference on Communications, 2022
Hamza Ijaz Abbasi   +4 more
openaire   +1 more source

Multiagent Deep Deterministic Policy Gradient-Based Computation Offloading and Resource Allocation for ISAC-Aided 6G V2X Networks

IEEE Internet of Things Journal
Vehicular communications in future sixth-generation (6G) networks are expected to leverage integrated sensing and communications (ISACs) and mobile edge computing (MEC) techniques. However, the rapid proliferation of vehicle user equipment (V-UE) and the
Bintao Hu   +4 more
semanticscholar   +1 more source

A Scalable Mean-Field MARL Framework for Multi-Objective V2X Resource Allocation

IEEE Transactions on Intelligent Vehicles
Resource allocation in dense vehicle-to-everything (V2X) communication networks poses intricate challenges due to scalability issues, dynamic environments, and diverse quality of service requirements.
Xuan Zhang   +7 more
semanticscholar   +1 more source

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition

2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
With the rapid advancement of autonomous driving technology, vehicle-to-everything (V2X) communication has emerged as a key enabler for extending perception range and enhancing driving safety by providing visibility beyond the line of sight.
Ruiyang Hao   +20 more
semanticscholar   +1 more source

The Future of V2X

Traffic Technology International
An interview with Alfredo Escribá Gallego, chief technology officer, Kapsch TrafficCom, reveals how use cases for C-ITS and V2X are growing, amidst new technologies such as AI for traffic management
openaire   +1 more source

Electric Vehicle (EV) Review: Bibliometric Analysis of Electric Vehicle Trend, Policy, Lithium-Ion Battery, Battery Management, Charging Infrastructure, Smart Charging, and Electric Vehicle-to-Everything (V2X)

Energies
Electric vehicles (EVs) have seen significant growth due to the increasing awareness about environmental concerns and the negative impacts of internal combustion engine vehicles (ICEVs).
Ibham Veza   +5 more
semanticscholar   +1 more source

V2X-ViTv2: Improved Vision Transformers for Vehicle-to-Everything Cooperative Perception

IEEE Transactions on Pattern Analysis and Machine Intelligence
In this paper, we study the application of Vehicle-to-Everything (V2X) communication to improve the perception performance of autonomous vehicles. We present V2X-ViTs, a robust cooperative perception framework with V2X communication using novel vision ...
Runsheng Xu   +2 more
exaly   +2 more sources

Proximal Policy Optimization for RIS-Assisted Full Duplex 6G-V2X Communications

IEEE Transactions on Intelligent Vehicles
In this work, we consider a novel reconfigurable intelligent surface (RIS)-assisted full-duplex (FD) sixth generation (6G)-vehicle-to-everything (V2X) communication network having a FD base station (BS) simultaneously communicating with an uplink (UL ...
Prajwalita Saikia   +4 more
semanticscholar   +1 more source

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