11 citations · 20 across the 22 of their papers we have counts for
6 papers · 1 filter
MAAD: A Model and Dataset for "Attended Awareness" in Driving
Deepak Gopinath, Guy Rosman, Simon Stent +4
We propose a computational model to estimate a person's attended awareness of their environment. We define attended awareness to be those parts of a potentially dynamic scene which…
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…
Risk Conditioned Neural Motion Planning
Xin Huang, Meng Feng, Ashkan Jasour +2
Risk-bounded motion planning is an important yet difficult problem for safety-critical tasks. While existing mathematical programming methods offer theoretical guarantees in the co…
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery
Yutong Ban, Guy Rosman, Jennifer A. Eckhoff +6
Comprehension of surgical workflow is the foundation upon which artificial intelligence (AI) and machine learning (ML) holds the potential to assist intraoperative decision-making…