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Found 5 papers, 3 papers with code
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?
Even though the models' RMSE value differed, all the models captured the kinematic-dependent merging behavior but struggled at varying degrees to capture the more nuanced courtesy lane change and highway lane change behavior.
Maneuver-Aware Pooling for Vehicle Trajectory Prediction
Behavior of each of the surrounding vehicles is governed by the motion of its neighbor vehicles.
Maneuver-based Anchor Trajectory Hypotheses at Roundabouts
Accordingly, our model employs a set of maneuver-specific anchor trajectories that cover the space of possible outcomes at the roundabout.
Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model
There is quickly growing literature on machine-learned models that predict human driving trajectories in road traffic.
Human-like Planning for Reaching in Cluttered Environments
From this, we devised a qualitative representation of the task space to abstract the decision making, irrespective of the number of obstacles.
