Digital twin empowered mobile edge computing for intelligent vehicular lane-changing
With automated driving forthcoming, lane-changing for Connected and Automated Vehicles
(CAVs) has received wide attention. The main challenge is that lane-changing requires not …
(CAVs) has received wide attention. The main challenge is that lane-changing requires not …
Federated vehicular transformers and their federations: Privacy-preserving computing and cooperation for autonomous driving
Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
Transfuser: Imitation with transformer-based sensor fusion for autonomous driving
How should we integrate representations from complementary sensors for autonomous
driving? Geometry-based fusion has shown promise for perception (eg, object detection …
driving? Geometry-based fusion has shown promise for perception (eg, object detection …
DiversityGAN: Diversity-aware vehicle motion prediction via latent semantic sampling
Vehicle trajectory prediction is crucial for autonomous driving and advanced driver assistant
systems. While existing approaches may sample from a predicted distribution of vehicle …
systems. While existing approaches may sample from a predicted distribution of vehicle …
HydraFusion: Context-aware selective sensor fusion for robust and efficient autonomous vehicle perception
AV Malawade, T Mortlock… - 2022 ACM/IEEE 13th …, 2022 - ieeexplore.ieee.org
Although autonomous vehicles (AVs) are expected to revolutionize transportation, robust
perception across a wide range of driving contexts remains a significant challenge …
perception across a wide range of driving contexts remains a significant challenge …
VTGNet: A vision-based trajectory generation network for autonomous vehicles in urban environments
Traditional methods for autonomous driving are implemented with many building blocks
from perception, planning and control, making them difficult to generalize to varied scenarios …
from perception, planning and control, making them difficult to generalize to varied scenarios …
Connected and automated vehicle systems: Introduction and overview
SE Shladover - Journal of Intelligent Transportation Systems, 2018 - Taylor & Francis
This paper provides an introduction to the history and concepts of connected and automated
vehicle systems. Connected vehicle (CV) systems have been an important focal point for the …
vehicle systems. Connected vehicle (CV) systems have been an important focal point for the …
Ubiquitous control over heterogeneous vehicles: A digital twin empowered edge AI approach
The forthcoming of automated driving has led to vehicular heterogeneity, where vehicles
with different automation levels, including connected and automated vehicles (CAVs) …
with different automation levels, including connected and automated vehicles (CAVs) …
A survey of federated learning for connected and automated vehicles
Connected and Automated Vehicles (CAVs) represent a rapidly growing technology in the
automotive domain sector, offering promising solutions to address challenges such as traffic …
automotive domain sector, offering promising solutions to address challenges such as traffic …
End-to-end federated learning for autonomous driving vehicles
In recent years, with the development of computation capability in devices, companies are
eager to investigate and utilize suitable ML/DL methods to improve their service quality …
eager to investigate and utilize suitable ML/DL methods to improve their service quality …