11 citations · 19 across the 6 of their papers we have counts for
3 papers · 1 filter
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Xin Huang, Guy Rosman, Igor Gilitschenski +4
Modeling multi-modal high-level intent is important for ensuring diversity in trajectory prediction. Existing approaches explore the discrete nature of human intent before predicti…
Trajectory Prediction with Linguistic Representations
Yen-Ling Kuo, Xin Huang, Andrei Barbu +4
Language allows humans to build mental models that interpret what is happening around them resulting in more accurate long-term predictions. We present a novel trajectory predictio…
TIP: Task-Informed Motion Prediction for Intelligent Vehicles
Xin Huang, Guy Rosman, Ashkan Jasour +3
When predicting trajectories of road agents, motion predictors usually approximate the future distribution by a limited number of samples. This constraint requires the predictors t…