Vehicle trajectory prediction with interaction regions and Spatial–Temporal attention

D Cheng, X Gu, C Qian, C Du, J Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Vehicle trajectory prediction is a key technology in autonomous driving, one of the aims of
which is to ensure the safety of vehicle travelling and lane changing. Especially in complex …

Environment-attention network for vehicle trajectory prediction

Y Cai, Z Wang, H Wang, L Chen, Y Li… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In vehicle trajectory prediction, the difficulty in modeling the interaction relationship between
vehicles lies in constructing the interaction structure between the vehicles in the traffic …

Two-stream LSTM Network with Hybrid Attention for Vehicle Trajectory Prediction

C Li, Z Liu, J Zhang, Y Wang, F Ding… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
Trajectory prediction aims to estimate future location by exploring driving behavior and
historical trajectory, which is essential for driving decision-making and local motion planning …

[HTML][HTML] Spatial-temporal attentive LSTM for vehicle-trajectory prediction

R Jiang, H Xu, G Gong, Y Kuang, Z Liu - ISPRS International Journal of …, 2022 - mdpi.com
Vehicle-trajectory prediction is essential for intelligent traffic systems (ITS), as it can help
autonomous vehicles to plan a safe and efficient path. However, it is still a challenging task …

Adaptive Graph and Multi-Head Attention-Based Vehicle Trajectory Prediction

P Zhang, W Hu, B Zhang, Z Ma… - IECON 2023-49th Annual …, 2023 - ieeexplore.ieee.org
Trajectory prediction is a critical and challenging task in autonomous driving systems due to
the various driving behavior of surrounding vehicles in complex environments. The existing …

A novel temporal multi-gate mixture-of-experts approach for vehicle trajectory and driving intention prediction

R Yuan, M Abdel-Aty, Q Xiang, Z Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Accurate Vehicle Trajectory Prediction is critical for automated vehicles and advanced driver
assistance systems. Vehicle trajectory prediction consists of two essential tasks, ie …

Spatial-temporal attention networks for vehicle trajectory prediction

L Chen, S Yan, M Sun, Z Yang, P Zhai… - Proceedings of the 8th …, 2022 - dl.acm.org
Predicting the future trajectory of vehicles is essential to the safety of autonomous driving.
However, due to the uncertainty of the future behavior of vehicles and the complexity of …

Hybrid attention based vehicle trajectory prediction

L Wang, W Jiang - … of the Institution of Mechanical Engineers …, 2023 - journals.sagepub.com
Accurately predicting trajectory of vehicles is a key capability for autonomous vehicles
during real-world driving scenarios, which requires the autonomous vehicles to perceive the …

Trajectory prediction neural network and model interpretation based on temporal pattern attention

H Hu, Q Wang, M Cheng, Z Gao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
High-precision vehicle trajectory prediction can enable autonomous vehicles to provide a
safer and more comfortable trajectory planning and control. Unfortunately, current trajectory …

Intention-convolution and hybrid-attention network for vehicle trajectory prediction

C Li, Z Liu, S Lin, Y Wang, X Zhao - Expert Systems with Applications, 2024 - Elsevier
Trajectory prediction aims to estimate the future location of the vehicle based on its historical
motion state, which is essential for driving decision-making and local motion planning of …