Five facets of 6G: Research challenges and opportunities
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …
turned their attention to the exploration of radical next-generation solutions. At this early …
Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective
Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …
[HTML][HTML] Implications of automated vehicles for physical road environment: A comprehensive review
O Tengilimoglu, O Carsten, Z Wadud - Transportation research part E …, 2023 - Elsevier
Automated vehicles (AVs) have received intense attention in academia and industry around
the world in recent years, but the imminent introduction of AVs brings new challenges and …
the world in recent years, but the imminent introduction of AVs brings new challenges and …
A fault diagnosis framework for autonomous vehicles with sensor self-diagnosis
Fault diagnosis for autonomous vehicles aims to provide available information about the
operation status of the vehicle to avoid potential risks, and sensor data provide the …
operation status of the vehicle to avoid potential risks, and sensor data provide the …
Control strategies on path tracking for autonomous vehicle: State of the art and future challenges
Q Yao, Y Tian, Q Wang, S Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous vehicle technology aims to improve driving safety, driving comfort, and its
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …
State estimation and motion prediction of vehicles and vulnerable road users for cooperative autonomous driving: A survey
The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …
increasingly widespread testing of fully autonomous vehicles on public roads, where …
Decentralized federated learning for extended sensing in 6G connected vehicles
Research on smart connected vehicles has recently targeted the integration of vehicle-to-
everything (V2X) networks with Machine Learning (ML) tools and distributed decision …
everything (V2X) networks with Machine Learning (ML) tools and distributed decision …
On the integration of enabling wireless technologies and sensor fusion for next-generation connected and autonomous vehicles
The automotive industry is transitioning towards intelligent, connected, and autonomous
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
Toward personalized decision making for autonomous vehicles: a constrained multi-objective reinforcement learning technique
Reinforcement learning promises to provide a state-of-the-art solution to the decision
making problem of autonomous driving. Nonetheless, numerous real-world decision making …
making problem of autonomous driving. Nonetheless, numerous real-world decision making …
Multiple vehicle cooperation and collision avoidance in automated vehicles: Survey and an AI-enabled conceptual framework
Prospective customers are becoming more concerned about safety and comfort as the
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …