Vehicle Trajectory Prediction in Expressway Merging Areas Based on Self-Supervised Mechanism
Y Ma, C Ma, C Lv, S Zhang, Y Tian, T Zhao… - … Engineering, Part A …, 2024 - ascelibrary.org
With the increasing number of vehicles, the growing complexity of traffic environments has
led to a rise in traffic pressure. As a critical hub connecting roads between cities, expressway …
led to a rise in traffic pressure. As a critical hub connecting roads between cities, expressway …
Location Prediction Using Bayesian Optimization LSTM for RIS-Assisted Wireless Communications
Reconfigurable intelligent surface (RIS) represent a novel form of electromagnetic
metamaterial that have been extensively studied for user equipment (UE) positioning by …
metamaterial that have been extensively studied for user equipment (UE) positioning by …
Enhancing safety and efficiency in automated container terminals: Route planning for hazardous material AGV using LSTM neural network and Deep Q-Network
F Li, J Cheng, Z Mao, Y Wang… - Journal of Intelligent and …, 2024 - ieeexplore.ieee.org
As the proliferation and development of automated container terminal continue, the issues of
efficiency and safety become increasingly significant. The container yard is one of the most …
efficiency and safety become increasingly significant. The container yard is one of the most …
A Survey of Deep Learning-Based Multimodal Vehicle Trajectory Prediction Methods
X Wang, L Zhou, Y Liu - China Conference on Wireless Sensor Networks, 2023 - Springer
With the rapid development of deep learning, an increasing number of researchers have
paid attention to and engaged in research in the field of autonomous driving, achieving …
paid attention to and engaged in research in the field of autonomous driving, achieving …