Multi-frequency-band deep CNN model for tool wear prediction

J Duan, J Duan, H Zhou, X Zhan, T Li… - … Science and Technology, 2021 - iopscience.iop.org
A reliable data-driven tool condition monitoring system is more and more promising for
cutting down on machine downtime and economic losses. However, traditional methods are …

3D-LIDAR based object detection and tracking on the edge of IoT for railway level crossing

C Wisultschew, G Mujica, JM Lanza-Gutierrez… - IEEE …, 2021 - ieeexplore.ieee.org
Object detection is an essential technology for surveillance systems, particularly in areas
with a high risk of accidents such as railway level crossings. To prevent future collisions, the …

Edge-network-assisted real-time object detection framework for autonomous driving

SW Kim, K Ko, H Ko, VCM Leung - IEEE Network, 2021 - ieeexplore.ieee.org
Computer vision tasks such as object detection are crucial for the operations of autonomous
vehicles (AVs). Results of many tasks, even those requiring high computational power, can …

Designing a 6G testbed for location: Use cases, challenges, enablers and Requirements

EJ Khatib, CS Alvarez-Merino, HQ Luo-Chen… - IEEE …, 2023 - ieeexplore.ieee.org
Location will have a central role in Research and Development (R&D) towards 6G networks,
both as a service offered by the network (improving the current offering of 5G) and as an …

Civil aircrafts augmented space–air–ground-integrated vehicular networks: Motivation, breakthrough, and challenges

Q Chen, W Meng, S Li, C Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In order to meet mobile users' unprecedented communication demands and the goal of
global seamless communication, space–air–ground-integrated networks (SAGINs) have …

LiveMap: Real-time dynamic map in automotive edge computing

Q Liu, T Han, JL Xie, BG Kim - IEEE INFOCOM 2021-IEEE …, 2021 - ieeexplore.ieee.org
Autonomous driving needs various line-of-sight sensors to perceive surroundings that could
be impaired under diverse environment uncertainties such as visual occlusion and extreme …

Smart city IoT application for road infrastructure safety and monitoring by using digital twin

A Niaz, S Khan, F Niaz, MU Shoukat… - … Conference on IT …, 2022 - ieeexplore.ieee.org
Industrial internet of things (IIoT) enhances automation and safety in transportation flow and
new technology must meet the agents. Digital twins in road infrastructure will improve public …

Survey on the acceptance of smart cars amongst middle-aged and elderly in China

F Zeng, M Wang, L Li, S Cai - Technology in Society, 2023 - Elsevier
In several countries around the world, the ageing of their populations is accelerating. As
middle-aged and elderly people get older, their physical functions gradually decline, and …

Task offloading strategy and scheduling optimization for internet of vehicles based on deep reinforcement learning

X Zhao, M Liu, M Li - Ad Hoc Networks, 2023 - Elsevier
Driven by the construction of smart cities, networks and communication technologies are
gradually infiltrating into the Internet of Things (IoT) applications in urban infrastructure, such …

Rt-mdl: Supporting real-time mixed deep learning tasks on edge platforms

N Ling, K Wang, Y He, G Xing, D Xie - … of the 19th ACM conference on …, 2021 - dl.acm.org
Recent years have witnessed an emerging class of real-time applications, eg, autonomous
driving, in which resource-constrained edge platforms need to execute a set of real-time …