1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2026
RankFormer: A Propose-then-Select Transformer for Multi-Agent Multimodal Trajectory Prediction
Diyi Liu, Zihan Niu, Tu Xu +2
Predicting traffic agent trajectories plays an important role in autonomous driving, traffic operations, transportation safety analysis, etc. Although many deep learning algorithms…
physics.soc-ph2023★ 1 cited
On the calibration of stochastic car following models
Shirui Zhou, Shiteng Zheng, Martin Treiber +2
Recent experimental and empirical observations have demonstrated that stochasticity plays a critical role in car following (CF) dynamics. To reproduce the observations, quite a few…
eess.SY2022★ 1 cited
Driving Style Recognition at First Impression for Online Trajectory Prediction
Tu Xu, Kan Wu, Yongdong Zhu +1
This paper proposes a new driving style recognition approach that allows autonomous vehicles (AVs) to perform trajectory predictions for surrounding vehicles with minimal data. Tow…