Graph neural networks in IoT: A survey
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
Pedestrian trajectory prediction in pedestrian-vehicle mixed environments: A systematic review
M Golchoubian, M Ghafurian… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Planning an autonomous vehicle's (AV) path in a space shared with pedestrians requires
reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction …
reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction …
Spatial–temporal complex graph convolution network for traffic flow prediction
Traffic flow prediction remains an ongoing hot topic in the field of Intelligent Transportation
System. The state-of-the-art traffic flow prediction models can effectively extract both spatial …
System. The state-of-the-art traffic flow prediction models can effectively extract both spatial …
A hierarchical framework for interactive behaviour prediction of heterogeneous traffic participants based on graph neural network
In complex and dynamic urban traffic scenarios, the accurate prediction of trajectories of
surrounding traffic participants (vehicles, pedestrians, etc) with interactive behaviours plays …
surrounding traffic participants (vehicles, pedestrians, etc) with interactive behaviours plays …
Decision-making technology for autonomous vehicles: Learning-based methods, applications and future outlook
Q Liu, X Li, S Yuan, Z Li - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
Autonomous vehicles have a great potential in the application of both civil and military fields,
and have become the focus of research with the rapid development of science and …
and have become the focus of research with the rapid development of science and …
Towards socially responsive autonomous vehicles: A reinforcement learning framework with driving priors and coordination awareness
The advent of autonomous vehicles (AVs) alongside human-driven vehicles (HVs) has
ushered in an era of mixed traffic flow, presenting a significant challenge: the intricate …
ushered in an era of mixed traffic flow, presenting a significant challenge: the intricate …
Autonomous driving strategies at intersections: Scenarios, state-of-the-art, and future outlooks
Due to the complex and dynamic character of intersection scenarios, the autonomous
driving strategy at intersections has been a difficult problem and a hot point in the research …
driving strategy at intersections has been a difficult problem and a hot point in the research …
Occlusion handling and multi-scale pedestrian detection based on deep learning: A review
F Li, X Li, Q Liu, Z Li - IEEE Access, 2022 - ieeexplore.ieee.org
Pedestrian detection is an important branch of computer vision, and has important
applications in the fields of autonomous driving, artificial intelligence and video surveillance …
applications in the fields of autonomous driving, artificial intelligence and video surveillance …
[HTML][HTML] Predicting vehicle behavior using multi-task ensemble learning
R Khoshkangini, P Mashhadi, D Tegnered… - Expert systems with …, 2023 - Elsevier
Vehicle utilization analysis is an essential tool for manufacturers to understand customer
needs, improve equipment uptime, and to collect information for future vehicle and service …
needs, improve equipment uptime, and to collect information for future vehicle and service …
VNAGT: Variational non-autoregressive graph transformer network for multi-agent trajectory prediction
X Chen, H Zhang, Y Hu, J Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurately predicting the trajectory of road agents in complex traffic scenarios is challenging
because the movement patterns of agents are complex and stochastic, not only depending …
because the movement patterns of agents are complex and stochastic, not only depending …