19 citations · 50 across the 5 of their papers we have counts for
5 papers
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?
Aravinda Ramakrishnan Srinivasan, Yi-Shin Lin, Morris Antonello +9
Autonomous vehicles use a variety of sensors and machine-learned models to predict the behavior of surrounding road users. Most of the machine-learned models in the literature focu…
Maneuver-Aware Pooling for Vehicle Trajectory Prediction
Mohamed Hasan, Albert Solernou, Evangelos Paschalidis +3
Autonomous vehicles should be able to predict the future states of its environment and respond appropriately. Specifically, predicting the behavior of surrounding human drivers is…
Maneuver-based Anchor Trajectory Hypotheses at Roundabouts
Mohamed Hasan, Evangelos Paschalidis, Albert Solernou +3
Predicting future behavior of the surrounding vehicles is crucial for self-driving platforms to safely navigate through other traffic. This is critical when making decisions like c…
Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model
Aravinda Ramakrishnan Srinivasan, Mohamed Hasan, Yi-Shin Lin +4
There is quickly growing literature on machine-learned models that predict human driving trajectories in road traffic. These models focus their learning on low-dimensional error me…
Human-like Planning for Reaching in Cluttered Environments
Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh +6
Humans, in comparison to robots, are remarkably adept at reaching for objects in cluttered environments. The best existing robot planners are based on random sampling of configurat…