Results 251 to 260 of about 186,611 (326)

An Optimal Vehicle-Scheduling Model for Signal-Free Intersections Considering Bus Priority in a Connected and Automated Vehicle Environment. [PDF]

Sensors (Basel)
Wang D, Jiang S, Zheng G, Shi X.
europepmc   +1 more source

Performance Analysis of Non-Orthogonal Multiple Access-Enhanced Autonomous Aerial Vehicle-Assisted Internet of Vehicles over Rician Fading Channels. [PDF]

Entropy (Basel)
Zhang Z, He Y, Lei Y, Cai Z, Huang F, Zhao X, Wang D, Li L.   +7 more
europepmc   +1 more source

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Secure Operations of Connected and Autonomous Vehicles

IEEE Transactions on Intelligent Vehicles, 2023
With features of collaborative interaction and autonomous decision-making, connected and autonomous vehicles (CAVs) offer a viable solution for a sustainable and efficient future of transportation.
Jinpeng Han, Zhiyang Ju, Xiaoguang Chen, Manzhi Yang, Hui Zhang, Rouxing Huai   +5 more
semanticscholar   +2 more sources

A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs)

IEEE transactions on intelligent transportation systems (Print), 2021
As the general development trend of the automotive industry, connected and autonomous vehicles (CAVs) can be used to increase transportation safety, promote mobility choices, reduce user costs, and create new job opportunities.
Xiaoqiang Sun, F. Yu, Peng Zhang
semanticscholar   +1 more source

Overcoming Occlusions: Perception Task-Oriented Information Sharing in Connected and Autonomous Vehicles

IEEE Network, 2023
With the potential of reshaping the future of mobility, connected and autonomous vehicles (CAVs) offer a potential opportunity to transform the world with significant social, industrial, and economic benefits.
Zhu Xiao, Jinmei Shu, Hongbo Jiang, Geyong Min, Hongyang Chen, Zhu Han   +5 more
semanticscholar   +1 more source

Architecting and Analysing Connected Autonomous Vehicles

2020 IEEE International Conference on Software Architecture Companion (ICSA-C), 2020
This tutorial focuses on the vehicular domain, which is living a very interesting moment due to the many challenges the domain is experiencing, including autonomy of vehicles, vehicles that are becoming constituent systems in the system-of-systems context and many more.
Alessio Bucaioni, John Lundback, Patrizio Pelliccione, Saad Mubeen   +3 more
openaire   +1 more source

Novel Decision-Making Strategy for Connected and Autonomous Vehicles in Highway On-Ramp Merging

IEEE transactions on intelligent transportation systems (Print), 2022
High-speed highway on-ramp merging is a significant challenge toward realizing fully automated driving (level 4). Connected Autonomous Vehicles (CAVs), that combine communication and autonomous driving technologies, may improve greatly the safety ...
Zine el abidine Kherroubi, S. Aknine, Rebiha Bacha   +2 more
semanticscholar   +1 more source

Cybersecurity of Autonomous and Connected Vehicles

2020
This paper describes the cybersecurity problem area of intelligent transport systems (ITS), and especially regarding autonomous and connected vehicles. The main vulnerabilities of the ITS system are analyzed in the paper. Real cases and examples of attacks and hacking of autonomous vehicle systems are described.
Škorput, Pero, Mandžuka, Sadko, Bermanec, Saša, Vojvodić, Hrvoje   +3 more
openaire   +3 more sources

Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration

IEEE transactions on intelligent transportation systems (Print), 2023
GPS spoofing attacks pose great challenges to connected vehicle (CVs) safety applications and localization of autonomous vehicles (AVs). In this paper, we propose to utilize transportation and vehicle engineering domain knowledge to detect GPS spoofing ...
Zhen Yang, Jun Ying, Junjie Shen, Yiheng Feng, Qi Alfred Chen, Z. Mao, Henry X. Liu   +6 more
semanticscholar   +1 more source

A Review of LiDAR-Based 3D Object Detection via Deep Learning Approaches Towards Robust Connected and Autonomous Vehicles

IEEE Transactions on Intelligent Vehicles
Automated Driving Systems (ADS) rely on a variety of sensors and algorithms to perceive their environment and make proper and timely driving decisions to ensure safety and efficiency.
Nang Htet Htet Aung, P. Sangwongngam, R. Jintamethasawat, Shashi Shah, L. Wuttisittikulkij   +4 more
semanticscholar   +1 more source