Interactive trajectory prediction using a driving risk map-integrated deep learning method for surrounding vehicles on highways

X Liu, Y Wang, K Jiang, Z Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate trajectory prediction of surrounding vehicles is vital for automated vehicles to
achieve high-level driving safety in complex situations. However, most state-of-the-art …

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 …

A dual learning model for vehicle trajectory prediction

M Khakzar, A Rakotonirainy, A Bond… - IEEE Access, 2020 - ieeexplore.ieee.org
Automated vehicles and advanced driver-assistance systems require an accurate prediction
of future traffic scene states. The tendency in recent years has been to use deep learning …

Road-aware trajectory prediction for autonomous driving on highways

Y Yoon, T Kim, H Lee, J Park - Sensors, 2020 - mdpi.com
For driving safely and comfortably, the long-term trajectory prediction of surrounding
vehicles is essential for autonomous vehicles. For handling the uncertain nature of trajectory …

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 …

DACR-AMTP: adaptive multi-modal vehicle trajectory prediction for dynamic drivable areas based on collision risk

P Cong, Y Xiao, X Wan, M Deng, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate vehicle trajectory prediction in autonomous driving technology poses significant
challenges due to the varying driving states of different vehicles, their motion patterns, and …

Vehicle trajectory prediction using intention-based conditional variational autoencoder

X Feng, Z Cen, J Hu, Y Zhang - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Vehicle trajectory prediction has been an active research area in autonomous driving. In a
real traffic scene, autonomous vehicle needs to predict future motion of surrounding vehicles …

Attention based vehicle trajectory prediction

K Messaoud, I Yahiaoui… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Self-driving vehicles need to continuously analyse the driving scene, understand the
behavior of other road users and predict their future trajectories in order to plan a safe …

Vehicle trajectory prediction method coupled with ego vehicle motion trend under dual attention mechanism

H Guo, Q Meng, D Cao, H Chen, J Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Predicting the trajectory of neighboring vehicles is closely related to the driving safety of
intelligent vehicles and supports driving assistance. This article proposes a dual-attention …

[HTML][HTML] A probabilistic architecture of long-term vehicle trajectory prediction for autonomous driving

J Liu, Y Luo, Z Zhong, K Li, H Huang, H Xiong - Engineering, 2022 - Elsevier
In mixed and dynamic traffic environments, accurate long-term trajectory forecasting of
surrounding vehicles is one of the indispensable preconditions for autonomous vehicles to …