[HTML][HTML] Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …
Edge computing for autonomous driving: Opportunities and challenges
Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …
Parallel driving OS: A ubiquitous operating system for autonomous driving in CPSS
With the rapid development of autonomous driving technologies, a vast array of autonomous
driving algorithms and platforms have emerged. These algorithms and platforms are usually …
driving algorithms and platforms have emerged. These algorithms and platforms are usually …
Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
A connected autonomous vehicle (CAV) network can be defined as a set of connected
vehicles including CAVs that operate on a specific spatial scope that may be a road network …
vehicles including CAVs that operate on a specific spatial scope that may be a road network …
Emerging technologies for 5G-IoV networks: applications, trends and opportunities
With the evolution of the technologies for IoV to be intelligent and interconnected, V2X
communication technology serves as a core technology for information interaction among …
communication technology serves as a core technology for information interaction among …
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 …
Autonomous vehicles that interact with pedestrians: A survey of theory and practice
A Rasouli, JK Tsotsos - IEEE transactions on intelligent …, 2019 - ieeexplore.ieee.org
One of the major challenges that autonomous cars are facing today is driving in urban
environments. To make it a reality, autonomous vehicles require the ability to communicate …
environments. To make it a reality, autonomous vehicles require the ability to communicate …
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 …
Topological graph convolutional network-based urban traffic flow and density prediction
With the development of modern Intelligent Transportation System (ITS), reliable and
efficient transportation information sharing becomes more and more important. Although …
efficient transportation information sharing becomes more and more important. Although …
AI-assisted network-slicing based next-generation wireless networks
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …
and various network resources renders next-generation wireless networks (NGWNs) highly …