3 papers
cs.RO2025
Adaptive Output Steps: FlexiSteps Network for Dynamic Trajectory Prediction
Yunxiang Liu, Hongkuo Niu, Jianlin Zhu
Accurate trajectory prediction is vital for autonomous driving, robotics, and intelligent decision-making systems, yet traditional models typically rely on fixed-length output pred…
cs.LG2025
DyTTP: Trajectory Prediction with Normalization-Free Transformers
JianLin Zhu, HongKuo Niu
Accurate trajectory prediction is a cornerstone for the safe operation of autonomous driving systems, where understanding the dynamic behavior of surrounding agents is crucial. Tra…
cs.AI2025
GAMDTP: Dynamic Trajectory Prediction with Graph Attention Mamba Network
Yunxiang Liu, Hongkuo Niu, Jianlin Zhu
Accurate motion prediction of traffic agents is crucial for the safety and stability of autonomous driving systems. In this paper, we introduce GAMDTP, a novel graph attention-base…