[HTML][HTML] Connected and automated vehicles: Infrastructure, applications, security, critical challenges, and future aspects

M Sadaf, Z Iqbal, AR Javed, I Saba, M Krichen… - Technologies, 2023 - mdpi.com
Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …

A survey of deep learning applications to autonomous vehicle control

S Kuutti, R Bowden, Y **, P Barber… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Deep reinforcement learning for intelligent transportation systems: A survey

A Haydari, Y Yılmaz - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
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 …

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 …

[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 …

Sensor fusion in autonomous vehicle with traffic surveillance camera system: detection, localization, and AI networking

M Hasanujjaman, MZ Chowdhury, YM Jang - Sensors, 2023 - mdpi.com
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 …

Intelligent and connected vehicles: Current status and future perspectives

DG Yang, K Jiang, D Zhao, CL Yu, Z Cao… - Science China …, 2018 - Springer
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 …

Obstacle avoidance and path planning methods for autonomous navigation of mobile robot

K Katona, HA Neamah, P Korondi - Sensors, 2024 - mdpi.com
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 …

Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving

A Likmeta, AM Metelli, A Tirinzoni, R Giol… - Robotics and …, 2020 - Elsevier
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 …

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 …