2 papers
cs.RO2024
NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
Chengyue Wang, Haicheng Liao, Bonan Wang +6
Accurate trajectory prediction is essential for the safety and efficiency of autonomous driving. Traditional models often struggle with real-time processing, capturing non-linearit…
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…