A Survey of Collaborative Perception in Intelligent Vehicles at Intersections
As an important component of intelligent transportation systems, collaborative perception
has made great progress in recent years. In collaborative perception, multiple devices rely …
has made great progress in recent years. In collaborative perception, multiple devices rely …
Critical review of vehicle-to-everything (V2X) topologies: Communication, power flow characteristics, challenges, and opportunities
The rise in demand for energy storage solutions and the widespread adoption of electric
vehicles (EVs) have given rise to the creation of vehicle-to-everything (V2X) topologies. V2X …
vehicles (EVs) have given rise to the creation of vehicle-to-everything (V2X) topologies. V2X …
Awareness Messages by Vulnerable Road Users and Vehicles: Field Tests via LTE-V2X
Awareness messages have been recently introduced to extend the information horizon of
connected vehicles and Vulnerable Road Users (VRUs) beyond their line-of-sight range. As …
connected vehicles and Vulnerable Road Users (VRUs) beyond their line-of-sight range. As …
Efficient data dissemination strategy for UAV in UAV-assisted VANETs
K Xiao, K Feng, A Dong, Z Mei - IEEE Access, 2023 - ieeexplore.ieee.org
With development of emerging intelligent transportation systems (ITSs), unmanned aerial
vehicles (UVAs) are gaining growing attention to achieve UAV-assisted VANETs for …
vehicles (UVAs) are gaining growing attention to achieve UAV-assisted VANETs for …
Cv2x-loca: Roadside unit-enabled cooperative localization framework for autonomous vehicles
An accurate and robust localization system is crucial for autonomous vehicles (AVs) to
enable safe driving in urban scenes. While existing global navigation satellite system …
enable safe driving in urban scenes. While existing global navigation satellite system …
Wireless Access for V2X Communications: Research, Challenges and Opportunities
Autonomous vehicles and Intelligent Transport Systems (ITS) have started to become a
reality in recent years. However, shortcomings of these early intelligent vehicles …
reality in recent years. However, shortcomings of these early intelligent vehicles …
Federated Split Learning with Data and Label Privacy Preservation in Vehicular Networks
Federatedlearning (FL) is an emerging distributed learning paradigm widely used in
vehicular networks, where vehicles are enabled to train the deep model for the server while …
vehicular networks, where vehicles are enabled to train the deep model for the server while …
Proposed CtCNet-HDRNN: A Cornerstone in the Integration of 5G mmWave and DSRC for High-Speed Vehicular Networks
This study proposes an innovative integration of the Car-to-Car Network-Hierarchical deep
neural network (CtCNET-HDRNN) model with Fifth generation (5G) and Dedicated Short …
neural network (CtCNET-HDRNN) model with Fifth generation (5G) and Dedicated Short …
[HTML][HTML] Vulnerable Road User Safety Using Mobile Phones with Vehicle-to-VRU Communication
Pedestrians, bicyclists, and scooterists are Vulnerable Road Users (VRUs) in traffic
accidents. The number of fatalities and injuries in traffic accidents involving vulnerable road …
accidents. The number of fatalities and injuries in traffic accidents involving vulnerable road …
Reinforcement learning based tasks offloading in vehicular edge computing networks
S Cao, D Liu, C Dai, C Wang, Y Yang, W Zhang… - Computer Networks, 2023 - Elsevier
With the rapid development of autonomous and intelligent techniques, vehicles are currently
equipped with computation and communication modules for satisfying clients' on-vehicle …
equipped with computation and communication modules for satisfying clients' on-vehicle …