Z Xiao, J Shu, H Jiang, G Min… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Autonomous driving has so far received numerous attention from academia and industry. However, the inevitable occlusion is a great menace to safety and reliable driving. Existing …
Y Ju, Y Chen, Z Cao, L Liu, Q Pei… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The mobile edge computing (MEC) technology can simultaneously provide high-speed computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
Mobile edge computing (MEC) has been recognized as a viable technology to satisfy low- delay computation requirements for resource-constrained Internet of things (IoT) devices …
Q Wu, S Wang, H Ge, P Fan, Q Fan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicles in platoons need to process many tasks to support various real-time vehicular applications. When a task arrives at a vehicle, the vehicle may not process the task due to its …
Cyber-physical systems (CPS) offer integrated resolutions for various applications by combining computer and physical components and enabling individual machines to work …
In connected autonomous vehicles (CAVs), the driving safety can be greatly deteriorated, in the presence of occlusions which are adverse to CAVs' perception of region-of-interest (RoI) …
B Hazarika, K Singh, CP Li… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Digital twin (DT) has emerged as a promising technology for improving resource allocation decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …
Z Sun, G Sun, Y Liu, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular networks (VNs) by deploying the cloud computing resources at the edge of the VNs …
J Wang, Y Dong, S Zhao, Z Zhang - Sensors, 2023 - mdpi.com
Vehicle detection and tracking technology plays an important role in intelligent transportation management and control systems. This paper proposes a novel vehicle …