How generative adversarial networks promote the development of intelligent transportation systems: A survey
In current years, the improvement of deep learning has brought about tremendous changes:
As a type of unsupervised deep learning algorithm, generative adversarial networks (GANs) …
As a type of unsupervised deep learning algorithm, generative adversarial networks (GANs) …
Understanding traffic bottlenecks of long freeway tunnels based on a novel location-dependent lighting-related car-following model
To understand the formation of lighting-related traffic bottlenecks along the long freeway
tunnels in the daytime, this study develops an intelligent driver model incorporating the …
tunnels in the daytime, this study develops an intelligent driver model incorporating the …
A hierarchical framework for improving ride comfort of autonomous vehicles via deep reinforcement learning with external knowledge
Ride comfort plays an important role in determining the public acceptance of autonomous
vehicles (AVs). Many factors, such as road profile, driving speed, and suspension system …
vehicles (AVs). Many factors, such as road profile, driving speed, and suspension system …
TrajGAT: A map-embedded graph attention network for real-time vehicle trajectory imputation of roadside perception
With the increasing deployment of roadside sensors, vehicle trajectories can be collected for
driving behavior analysis and vehicle-highway automation systems. However, due to …
driving behavior analysis and vehicle-highway automation systems. However, due to …
TriPField: A 3D potential field model and its applications to local path planning of autonomous vehicles
Potential fields have been integrated with local path-planning algorithms for autonomous
vehicles (AVs) to tackle challenging scenarios with dense and dynamic obstacles. Most …
vehicles (AVs) to tackle challenging scenarios with dense and dynamic obstacles. Most …
Modeling automatic pavement crack object detection and pixel-level segmentation
Timely pavement crack detection can prevent further pavement deterioration. However,
obtaining sufficient quantities of crack information at low cost remains a challenge. This …
obtaining sufficient quantities of crack information at low cost remains a challenge. This …
Data-driven indoor positioning correction for infrastructure-enabled autonomous driving systems: A lifelong framework
C Zhao, A Song, Y Zhu, S Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Infrastructure-enabled autonomous driving systems have been increasingly applied in
confined environments. Automated valet parking (AVP) in smart parking garages is one of …
confined environments. Automated valet parking (AVP) in smart parking garages is one of …
Fraud detection in financial statements using data mining and GAN models
Financial statements are analytical reports published periodically by financial institutions
explaining their performance from different perspectives. As these reports are the …
explaining their performance from different perspectives. As these reports are the …
Safe, efficient, and comfortable autonomous driving based on cooperative vehicle infrastructure system
J Chen, C Zhao, S Jiang, X Zhang, Z Li… - International journal of …, 2023 - mdpi.com
Traffic crashes, heavy congestion, and discomfort often occur on rough pavements due to
human drivers' imperfect decision-making for vehicle control. Autonomous vehicles (AVs) …
human drivers' imperfect decision-making for vehicle control. Autonomous vehicles (AVs) …
A survey on modeling for behaviors of complex intelligent systems based on generative adversarial networks
Y Lv, J Duan, X Li - Computer Science Review, 2024 - Elsevier
This paper provides an extensive and in-depth survey of behavior modeling for complex
intelligent systems, focusing specifically on the innovative applications of Generative …
intelligent systems, focusing specifically on the innovative applications of Generative …