A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving

H Liao, Y Li, Z Li, C Wang, Z Cui… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In autonomous vehicle (AV) technology, the ability to accurately predict the movements of
surrounding vehicles is paramount for ensuring safety and operational efficiency …

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment

H Liao, Z Li, C Wang, B Wang, H Kong, Y Guan… - arXiv preprint arXiv …, 2024 - arxiv.org
As autonomous driving technology progresses, the need for precise trajectory prediction
models becomes paramount. This paper introduces an innovative model that infuses …

Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation

H Liao, C Wang, Z Li, Y Li, B Wang, G Li… - Available at SSRN …, 2024 - papers.ssrn.com
This paper introduces a novel trajectory prediction approach for autonomous vehicles (AVs),
adeptly addressing the challenges of missing observations and the need for adherence to …

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction

H Liao, Y Li, Z Li, C Wang, C Tian, Y Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
Accurately and safely predicting the trajectories of surrounding vehicles is essential for fully
realizing autonomous driving (AD). This paper presents the Human-Like Trajectory …

Bi-Level Control of Weaving Sections in Mixed Traffic Environments with Connected and Automated Vehicles

L Yan, J Liang, K Yang - arXiv preprint arXiv:2403.16225, 2024 - arxiv.org
Connected and automated vehicles (CAVs) can be beneficial for improving the operation of
highway bottlenecks such as weaving sections. This paper proposes a bi-level control …

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving

H Liao, Z Li, C Wang, H Shen, B Wang, D Liao… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper introduces a trajectory prediction model tailored for autonomous driving, focusing
on capturing complex interactions in dynamic traffic scenarios without reliance on high …

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving

H Liao, X Li, Y Li, H Kong, C Wang, B Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Trajectory prediction is a cornerstone in autonomous driving (AD), playing a critical role in
enabling vehicles to navigate safely and efficiently in dynamic environments. To address this …