Trajectory prediction network of autonomous vehicles with fusion of historical interactive features

Z Zuo, X Wang, S Guo, Z Liu, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In order to improve driving safety and achieve more accurate decisions and planning,
autonomous vehicles are required to predict the future trajectories of the surrounding …

AMGB: Trajectory prediction using attention-based mechanism GCN-BiLSTM in IOV

R Li, Y Qin, J Wang, H Wang - Pattern Recognition Letters, 2023 - Elsevier
Accurate and reliable prediction of vehicle trajectories is closely related to the path planning
of intelligent vehicles and contributes to intelligent transportation safety, especially in …

A multi-modal vehicle trajectory prediction framework via conditional diffusion model: A coarse-to-fine approach

Z Li, H Liang, H Wang, X Zheng, J Wang… - Knowledge-Based …, 2023 - Elsevier
Accurate prediction of the future motion of surrounding vehicles is crucial for ensuring the
safety of motion planning in autonomous vehicles. However, it is challenging to perform …

Graph and recurrent neural network-based vehicle trajectory prediction for highway driving

X Mo, Y Xing, C Lv - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
Integrating trajectory prediction to the decision-making and planning modules of modular
autonomous driving systems is expected to improve the safety and efficiency of self-driving …

BRAM-ED: Vehicle trajectory prediction considering the change of driving behavior

L Li, W Zhao, C Wang, Q Chen… - IEEE/ASME Transactions …, 2022 - ieeexplore.ieee.org
Trajectory prediction plays a key role in the decision-making system of autonomous
vehicles. The existing trajectory prediction models have the problem of accuracy …

Intention-aware vehicle trajectory prediction based on spatial-temporal dynamic attention network for internet of vehicles

X Chen, H Zhang, F Zhao, Y Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicle trajectory prediction is a keystone for the application of the internet of vehicles (IoV).
With the help of deep learning and big data, it is possible to understand the between-vehicle …

Regional attention network with data-driven modal representation for multimodal trajectory prediction

C Li, Z Liu, N Yang, W Li, X Zhao - Expert Systems with Applications, 2023 - Elsevier
Accurate and reliable prediction of vehicle trajectory is one of the core functions for
automated vehicles, and it is a keystone for high-quality local motion planning and decision …

Multi‐modal vehicle trajectory prediction based on mutual information

C Fei, X He, X Ji - IET Intelligent Transport Systems, 2020 - Wiley Online Library
Autonomous vehicles need to have the ability to predict the motion of surrounding vehicles,
which will help to avoid potential accidents and make the best decision to ensure safety and …

Multi-modal vehicle trajectory prediction by collaborative learning of lane orientation, vehicle interaction, and intention

W Tian, S Wang, Z Wang, M Wu, S Zhou, X Bi - Sensors, 2022 - mdpi.com
Accurate trajectory prediction is an essential task in automated driving, which is achieved by
sensing and analyzing the behavior of surrounding vehicles. Although plenty of research …

ST-LSTM: Spatio-temporal graph based long short-term memory network for vehicle trajectory prediction

G Chen, L Hu, Q Zhang, Z Ren, X Gao… - … Conference on Image …, 2020 - ieeexplore.ieee.org
Autonomous vehicles need the ability to predict the trajectory of surrounding vehicles, so as
to make a rational decision planning, improve driving safety and ride comfort. In this paper, a …