Computing systems for autonomous driving: State of the art and challenges

L Liu, S Lu, R Zhong, B Wu, Y Yao… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …

A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Edge computing for autonomous driving: Opportunities and challenges

S Liu, L Liu, J Tang, B Yu, Y Wang… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …

Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions

SK Khan, N Shiwakoti, P Stasinopoulos… - Accident Analysis & …, 2020 - Elsevier
Abstract Modern-day Connected and Autonomous Vehicles (CAVs) with more than 100
million code lines, running up-to a hundred Electronic Control Units (ECUs) will create and …

Multilevel service-provisioning-based autonomous vehicle applications

M Khayyat, A Alshahrani, S Alharbi, I Elgendy… - Sustainability, 2020 - mdpi.com
With the recent advances and development of autonomous control systems of cars, the
design and development of reliable infrastructure and communication networks become a …

AC4AV: A flexible and dynamic access control framework for connected and autonomous vehicles

Q Zhang, H Zhong, J Cui, L Ren… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Sensing data plays a pivotal role in connected and autonomous vehicles (CAVs), enabling
CAV to perceive surroundings. For example, malicious applications might tamper this life …

Robot Operating System 2 (ROS2)-based frameworks for increasing robot autonomy: A survey

A Bonci, F Gaudeni, MC Giannini, S Longhi - applied sciences, 2023 - mdpi.com
Featured Application This work aims to review the use of ROS2 as middleware to integrate
heterogeneous hardware and software components in order to enable fixed-base robots to …

Energy-efficient machine learning on the edges

M Kumar, X Zhang, L Liu, Y Wang… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Machine learning-based software is vital for future Internet of Things (IoT) applications and
Connected and Autonomous Vehicles (CAVs) as it provides the core value of these services …

E2M: an energy-efficient middleware for computer vision applications on autonomous mobile robots

L Liu, J Chen, M Brocanelli, W Shi - Proceedings of the 4th ACM/IEEE …, 2019 - dl.acm.org
Autonomous mobile robots (AMRs) have been widely utilized in industry to execute various
on-board computer-vision applications including autonomous guidance, security patrol …

Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios

D Naseh, SS Shinde, D Tarchi - Journal of Sensor and Actuator Networks, 2024 - mdpi.com
In the rapidly evolving landscape of next-generation 6G systems, the integration of AI
functions to orchestrate network resources and meet stringent user requirements is a key …