A survey of collaborative machine learning using 5G vehicular communications
SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …
communications allow AVs to collaborate on solving common autonomous driving tasks …
Vision-based autonomous vehicle systems based on deep learning: A systematic literature review
In the past decade, autonomous vehicle systems (AVS) have advanced at an exponential
rate, particularly due to improvements in artificial intelligence, which have had a significant …
rate, particularly due to improvements in artificial intelligence, which have had a significant …
Visual detection and deep reinforcement learning-based car following and energy management for hybrid electric vehicles
Practical vision-based technology is essential for the autonomous driving of intelligent
hybrid electric vehicles. In this article, a hierarchical control structure is proposed, which …
hybrid electric vehicles. In this article, a hierarchical control structure is proposed, which …
A selective federated reinforcement learning strategy for autonomous driving
Currently, the complex traffic environment challenges the fast and accurate response of a
connected autonomous vehicle (CAV). More importantly, it is difficult for different CAVs to …
connected autonomous vehicle (CAV). More importantly, it is difficult for different CAVs to …
[HTML][HTML] Path planning algorithms in the autonomous driving system: A comprehensive review
This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …
to reduce human errors that are the reason for about 95% of car accidents. The ADS …
When UAVs meet cognitive radio: Offloading traffic under uncertain spectrum environment via deep reinforcement learning
The emerging Internet of Things (IoT) paradigm makes our telecommunications networks
increasingly congested. Unmanned aerial vehicles (UAVs) have been regarded as a …
increasingly congested. Unmanned aerial vehicles (UAVs) have been regarded as a …
Autonomous driving system: A comprehensive survey
J Zhao, W Zhao, B Deng, Z Wang, F Zhang… - Expert Systems with …, 2023 - Elsevier
Automation is increasingly at the forefront of transportation research, with the potential to
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …
A hybrid deep reinforcement learning and optimal control architecture for autonomous highway driving
Autonomous vehicles in highway driving scenarios are expected to become a reality in the
next few years. Decision-making and motion planning algorithms, which allow autonomous …
next few years. Decision-making and motion planning algorithms, which allow autonomous …
Hybrid autonomous driving guidance strategy combining deep reinforcement learning and expert system
The complex traffic and road environment pose considerable challenges to the accuracy,
timeliness, and adaptive ability of connected and autonomous vehicles (CAVs) in making …
timeliness, and adaptive ability of connected and autonomous vehicles (CAVs) in making …
Intelligent advice system for human drivers to prevent overtaking accidents in roads
Many road accidents happen due to the misjudgments and miscalculations of human drivers
when overtaking their lead vehicles. Using unaided sight, the human drivers cannot …
when overtaking their lead vehicles. Using unaided sight, the human drivers cannot …