Joint RAN slicing and computation offloading for autonomous vehicular networks: A learning-assisted hierarchical approach

Q Ye, W Shi, K Qu, H He, W Zhuang… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
In this paper, a two-timescale radio access network (RAN) slicing and computing task
offloading problem is investigated for a cloud-enabled autonomous vehicular network (C …

A survey on cooperative architectures and maneuvers for connected and automated vehicles

B Häfner, V Bajpai, J Ott… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
With increasing connectivity, more and more advanced forms of cooperation among vehicles
have become possible. Research has shown that vehicle-to-vehicle communication can …

Towards low-latency service delivery in a continuum of virtual resources: State-of-the-art and research directions

J Santos, T Wauters, B Volckaert… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The advent of softwarized networks has enabled the deployment of chains of virtual network
and service components on computational resources from the cloud up to the edge, creating …

Autonomous vehicle: Security by design

A Chattopadhyay, KY Lam… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Security of (semi)-autonomous vehicles is a growing concern, first, due to the increased
exposure of the functionality to potential attackers; second, due to the reliance of …

Internet of intelligence: A survey on the enabling technologies, applications, and challenges

Q Tang, FR Yu, R Xie, A Boukerche… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The Internet of Intelligence is conceived as an emerging networking paradigm, which will
make intelligence as easy to obtain as information. This paper provides an overview of the …

A taxonomy of blockchain envisioned edge‐as‐a‐connected autonomous vehicles

R Gupta, A Kumari, S Tanwar - Transactions on Emerging …, 2021 - Wiley Online Library
In the past few decades, Intelligent Transport System (ITS) has gained the popularity in
smart society. Global automotive stakeholders such as Google, Uber, and Toshiba are the …

[HTML][HTML] A review of deep learning-based visual multi-object tracking algorithms for autonomous driving

S Guo, S Wang, Z Yang, L Wang, H Zhang, P Guo… - Applied Sciences, 2022 - mdpi.com
Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding
autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms …

Cost‐optimal truck‐and‐robot routing for last‐mile delivery

M Ostermeier, A Heimfarth, A Hübner - Networks, 2022 - Wiley Online Library
During recent years, several companies have introduced small autonomous delivery robots
and evidenced their technical applicability in field studies. However, a holistic planning …

A Survey on integration of network communication into vehicle real-time motion control

B Deng, J Nan, W Cao, W Wang - … Communications Surveys & …, 2023 - ieeexplore.ieee.org
In the initial period of automobile development, the vast majority of researchers would never
have guessed network communications would be applied to vehicles one day. After the …

Pedestrian support in intelligent transportation systems: challenges, solutions and open issues

S El Hamdani, N Benamar, M Younis - Transportation research part C …, 2020 - Elsevier
The increased urbanization and the drive for realizing smart cities have motivated extensive
research and development in the realm of Intelligent Transportation Systems (ITS) in order to …