[HTML][HTML] A survey on vehicular task offloading: Classification, issues, and challenges

M Ahmed, S Raza, MA Mirza, A Aziz, MA Khan… - Journal of King Saud …, 2022 - Elsevier
Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …

Mobility digital twin: Concept, architecture, case study, and future challenges

Z Wang, R Gupta, K Han, H Wang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
A Digital Twin is a digital replica of a living or nonliving physical entity, and this emerging
technology attracted extensive attention from different industries during the past decade …

Vehicle as a mobile computing platform: Opportunities and challenges

S Lu, W Shi - IEEE Network, 2023 - ieeexplore.ieee.org
Over the past century, vehicles have predominantly functioned as a means of transportation.
However, as vehicular computation and communication capacities continue to expand, it is …

Intelligent computation offloading for MEC-based cooperative vehicle infrastructure system: A deep reinforcement learning approach

H Yang, Z Wei, Z Feng, X Chen, Y Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the cooperative vehicle infrastructure system, the road side unit (RSU) equipped with a
mobile edge computing (MEC) server and sensors could provide vehicle infrastructure …

Real driving cycle-based state of charge prediction for ev batteries using deep learning methods

S Hong, H Hwang, D Kim, S Cui, I Joe - Applied Sciences, 2021 - mdpi.com
An accurate prediction of the State of Charge (SOC) of an Electric Vehicle (EV) battery is
important when determining the driving range of an EV. However, the majority of the studies …

EASYR: E nergy-Efficient A daptive Sy stem R econfiguration for Dynamic Deadlines in Autonomous Driving on Multicore Processors

S Yi, TW Kim, JC Kim, N Dutt - ACM Transactions on Embedded …, 2023 - dl.acm.org
The increasing computing demands of autonomous driving applications have driven the
adoption of multicore processors in real-time systems, which in turn renders energy …

Vpi: Vehicle programming interface for vehicle computing

BF Wu, R Zhong, Y Wang, J Wan, JL Zhang… - Journal of Computer …, 2024 - Springer
The emergence of software-defined vehicles (SDVs), combined with autonomous driving
technologies, has enabled a new era of vehicle computing (VC), where vehicles serve as a …

Cooperative environmental perception task offloading for connected and autonomous vehicles

P Lv, J Huang, H Liu - Electronics, 2023 - mdpi.com
Cooperative environmental perception is an effective way to provide connected and
autonomous vehicles (CAVs) with the necessary environmental information. The research …

A communication link lifetime prediction-supported V2V partial computation offloading scheme for autonomous driving

R Men, X Fan, J Yan, A Shan… - Journal of Intelligent & …, 2024 - content.iospress.com
Abstract Vehicle Edge Computing (VEC) is a promising technique to improve the quality of
service (QoS) and quality of experience (QoE) in autonomous driving by exploiting the …

Hierarchical Aerial Computing for Task Offloading and Resource Allocation in 6G-Enabled Vehicular Networks

R Men, X Fan, KLA Yau, A Shan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The upsurge of mobile service demands underscores the inevitability of the emergence of
6G technology. Amidst the challenges that accompany the 6G networks, the exponential …