1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
Haicheng Liao, Yongkang Li, Zhenning Li +10
Accurately and safely predicting the trajectories of surrounding vehicles is essential for fully realizing autonomous driving (AD). This paper presents the Human-Like Trajectory Pr…
cs.RO2024★ 1 cited
Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments
Haicheng Liao, Shangqian Liu, Yongkang Li +5
In the burgeoning field of autonomous vehicles (AVs), trajectory prediction remains a formidable challenge, especially in mixed autonomy environments. Traditional approaches often…
cs.AI2024★ 1 cited
A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving
Haicheng Liao, Yongkang Li, Zhenning Li +4
In autonomous vehicle (AV) technology, the ability to accurately predict the movements of surrounding vehicles is paramount for ensuring safety and operational efficiency. Incorpor…