Autonomous cars: Research results, issues, and future challenges
R Hussain, S Zeadally - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Throughout the last century, the automobile industry achieved remarkable milestones in
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …
Networking and communications in autonomous driving: A survey
The development of light detection and ranging, Radar, camera, and other advanced sensor
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …
Multi-agent reinforcement learning based resource management in MEC-and UAV-assisted vehicular networks
In this paper, we investigate multi-dimensional resource management for unmanned aerial
vehicles (UAVs) assisted vehicular networks. To efficiently provide on-demand resource …
vehicles (UAVs) assisted vehicular networks. To efficiently provide on-demand resource …
A secure charging scheme for electric vehicles with smart communities in energy blockchain
The smart community (SC), as an important part of the Internet of Energy (IoE), can facilitate
integration of distributed renewable energy sources and electric vehicles (EVs) in the smart …
integration of distributed renewable energy sources and electric vehicles (EVs) in the smart …
Computation resource allocation and task assignment optimization in vehicular fog computing: A contract-matching approach
Vehicular fog computing (VFC) has emerged as a promising solution to relieve the overload
on the base station and reduce the processing delay during the peak time. The computation …
on the base station and reduce the processing delay during the peak time. The computation …
Vehicular communications: A network layer perspective
Vehicular communications, referring to information exchange among vehicles,
infrastructures, etc., have attracted a lot of attention recently due to great potential to support …
infrastructures, etc., have attracted a lot of attention recently due to great potential to support …
Deep reinforcement learning based resource management for multi-access edge computing in vehicular networks
In this paper, we study joint allocation of the spectrum, computing, and storing resources in a
multi-access edge computing (MEC)-based vehicular network. To support different vehicular …
multi-access edge computing (MEC)-based vehicular network. To support different vehicular …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Energy-efficient edge computing service provisioning for vehicular networks: A consensus ADMM approach
In vehicular networks, in-vehicle user equipment (UE) with limited battery capacity can
achieve opportunistic energy saving by offloading energy-hungry workloads to vehicular …
achieve opportunistic energy saving by offloading energy-hungry workloads to vehicular …
[HTML][HTML] A survey on vehicular communication for cooperative truck platooning application
Platooning is an application where a group of vehicles move one after each other in close
proximity, acting jointly as a single physical system. The scope of platooning is to improve …
proximity, acting jointly as a single physical system. The scope of platooning is to improve …