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[HTML][HTML] 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 …
A survey of deep learning applications to autonomous vehicle control
Designing a controller for autonomous vehicles capable of providing adequate performance
in all driving scenarios is challenging due to the highly complex environment and inability to …
in all driving scenarios is challenging due to the highly complex environment and inability to …
Deep reinforcement learning for intelligent transportation systems: A survey
Latest technological improvements increased the quality of transportation. New data-driven
approaches bring out a new research direction for all control-based systems, eg, in …
approaches bring out a new research direction for all control-based systems, eg, in …
Survey of deep reinforcement learning for motion planning of autonomous vehicles
S Aradi - IEEE Transactions on Intelligent Transportation …, 2020 - ieeexplore.ieee.org
Academic research in the field of autonomous vehicles has reached high popularity in
recent years related to several topics as sensor technologies, V2X communications, safety …
recent years related to several topics as sensor technologies, V2X communications, safety …
[PDF][PDF] Towards industrial revolution 5.0 and explainable artificial intelligence: Challenges and opportunities
I Taj, N Zaman - International Journal of Computing and …, 2022 - pdfs.semanticscholar.org
Technological growth is changing our everyday living, making it smarter and more
convenient day by day; Smart society 5.0, Healthcare 5.0, Agriculture 5.0 are only a few …
convenient day by day; Smart society 5.0, Healthcare 5.0, Agriculture 5.0 are only a few …
Sensor fusion in autonomous vehicle with traffic surveillance camera system: detection, localization, and AI networking
Complete autonomous systems such as self-driving cars to ensure the high reliability and
safety of humans need the most efficient combination of four-dimensional (4D) detection …
safety of humans need the most efficient combination of four-dimensional (4D) detection …
Intelligent and connected vehicles: Current status and future perspectives
Intelligent connected vehicles (ICVs) are believed to change people's life in the near future
by making the transportation safer, cleaner and more comfortable. Although many …
by making the transportation safer, cleaner and more comfortable. Although many …
Obstacle avoidance and path planning methods for autonomous navigation of mobile robot
Path planning creates the shortest path from the source to the destination based on sensory
information obtained from the environment. Within path planning, obstacle avoidance is a …
information obtained from the environment. Within path planning, obstacle avoidance is a …
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving
The design of high-level decision-making systems is a topical problem in the field of
autonomous driving. In this paper, we combine traditional rule-based strategies and …
autonomous driving. In this paper, we combine traditional rule-based strategies and …
Distributed multiagent coordinated learning for autonomous driving in highways based on dynamic coordination graphs
C Yu, X Wang, X Xu, M Zhang, H Ge… - Ieee transactions on …, 2019 - ieeexplore.ieee.org
Autonomous driving is one of the most important AI applications and has attracted extensive
interest in recent years. A large number of studies have successfully applied reinforcement …
interest in recent years. A large number of studies have successfully applied reinforcement …