Connected and automated vehicles: Infrastructure, applications, security, critical challenges, and future aspects
Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …
convenient, and environmentally friendly mode of transportation than traditional vehicles …
Evaluation framework for electric vehicle security risk assessment
Electric Vehicles (EVs) seem promising for future transportation to solve environmental
concerns and energy management problems. According to Reuters, global car makers plan …
concerns and energy management problems. According to Reuters, global car makers plan …
Data authorisation and validation in autonomous vehicles: A critical review
R Alhabib, P Yadav - arXiv preprint arXiv:2405.17435, 2024 - arxiv.org
Autonomous systems are becoming increasingly prevalent in new vehicles. Due to their
environmental friendliness and their remarkable capability to significantly enhance road …
environmental friendliness and their remarkable capability to significantly enhance road …
Object detection in adverse weather condition for autonomous vehicles
EO Appiah, S Mensah - Multimedia Tools and Applications, 2024 - Springer
As self-driving or autonomous vehicles proliferate in our society, there is a need for their
computing vision systems to be able to identify objects accurately, no matter the weather …
computing vision systems to be able to identify objects accurately, no matter the weather …
Autonomous driving: A survey of technological gaps using google scholar and web of science trend analysis
Autonomous Driving (AD) introduces dramatic changes to the way we travel. This emerging
technology has the potential to impact the transportation sector across a wide array of …
technology has the potential to impact the transportation sector across a wide array of …
Investigating the effect of traffic sampling on machine learning-based network intrusion detection approaches
Machine Learning (ML) based Network Intrusion Systems (NIDSs) operate on flow features
which are obtained from flow exporting protocols (ie, NetFlow). Recent success of ML and …
which are obtained from flow exporting protocols (ie, NetFlow). Recent success of ML and …
Autonomous vehicles and vulnerable road-users—Important considerations and requirements based on crash data from two countries
(1) Background: Passenger vehicles equipped with advanced driver-assistance system
(ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full …
(ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full …
Maintaining effective logistics management during and after COVID‑19 pandemic: survey on the importance of artificial intelligence to enhance recovery strategies
The outbreak of coronavirus (COVID-19) has forced governments around the world to limit
the movement of people and prohibit cross-countries travel or activities. However, the …
the movement of people and prohibit cross-countries travel or activities. However, the …
A Dataflow-Oriented Approach for Machine-Learning-Powered Internet of Things Applications
The rise of the Internet of Things (IoT) has led to an exponential increase in data generated
by connected devices. Machine Learning (ML) has emerged as a powerful tool to analyze …
by connected devices. Machine Learning (ML) has emerged as a powerful tool to analyze …
[HTML][HTML] Automated driving regulations–where are we now?
T Sever, G Contissa - Transportation research interdisciplinary …, 2024 - Elsevier
Self-driving vehicles are a tool that contributes significantly to sustainable development, both
nationally and globally, as their positive effects extend beyond national borders. For their …
nationally and globally, as their positive effects extend beyond national borders. For their …