Is it safe to drive? An overview of factors, metrics, and datasets for driveability assessment in autonomous driving
With recent advances in learning algorithms and hardware development, autonomous cars
have shown promise when operating in structured environments under good driving …
have shown promise when operating in structured environments under good driving …
A comprehensive review of computing paradigms, enabling computation offloading and task execution in vehicular networks
Road safety, optimized traffic management, and passenger comfort have always been the
primary goals of the vehicle networking research community. Advances in computer and …
primary goals of the vehicle networking research community. Advances in computer and …
Unified biometric privacy preserving three-factor authentication and key agreement for cloud-assisted autonomous vehicles
Autonomous vehicles (AVs) are increasingly common, although there remain a number of
limitations that need to be addressed in order for their deployment to be more widespread …
limitations that need to be addressed in order for their deployment to be more widespread …
VANET-cloud: a generic cloud computing model for vehicular Ad Hoc networks
Cloud computing is a network access model that aims to transparently and ubiquitously
share a large number of computing resources. These are leased by a service provider to …
share a large number of computing resources. These are leased by a service provider to …
Secure and efficient blockchain-assisted authentication for edge-integrated Internet-of-Vehicles
Edge-Integrated Internet-of-Vehicles (IoV) sinks service to edge nodes, which responses
quickly to vehicles' requests and alleviates the burden of cloud servers. In such scenario, the …
quickly to vehicles' requests and alleviates the burden of cloud servers. In such scenario, the …
[HTML][HTML] The future of transportation: ethical, legal, social and economic impacts of self-driving vehicles in the year 2025
M Ryan - Science and engineering ethics, 2020 - Springer
Self-driving vehicles (SDVs) offer great potential to improve efficiency on roads, reduce
traffic accidents, increase productivity, and minimise our environmental impact in the …
traffic accidents, increase productivity, and minimise our environmental impact in the …
Scalability and performance evaluation of edge cloud systems for latency constrained applications
S Maheshwari, D Raychaudhuri… - 2018 IEEE/ACM …, 2018 - ieeexplore.ieee.org
This paper presents an analysis of the scalability and performance of an edge cloud system
designed to support latency-sensitive applications. A system model for geographically …
designed to support latency-sensitive applications. A system model for geographically …
Avr: Augmented vehicular reality
Autonomous vehicle prototypes today come with line-of-sight depth perception sensors like
3D cameras. These 3D sensors are used for improving vehicular safety in autonomous …
3D cameras. These 3D sensors are used for improving vehicular safety in autonomous …
Vehicular cloud networks: Challenges, architectures, and future directions
Abstract Vehicular Cloud Computing is a promising solution to exploit the underutilized
vehicular resources and to meet the requirements of VANET applications and services …
vehicular resources and to meet the requirements of VANET applications and services …
Improving the schedulability of real-time tasks using fog computing
Due to the significant communication delay to user tasks, the cloud is not ideal for executing
real-time tasks with stringent deadlines. Fog computing consists of low computation …
real-time tasks with stringent deadlines. Fog computing consists of low computation …