Search Results for author:
Found 5 papers, 2 papers with code
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.
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.
Maneuver-Aware Pooling for Vehicle Trajectory Prediction
Behavior of each of the surrounding vehicles is governed by the motion of its neighbor vehicles.
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.
Multi-level and multi-modal feature fusion for accurate 3D object detection in Connected and Automated Vehicles
The fused features are shared by a two-stage network: the region proposal network (RPN) and the detection head (DH).
