234 citations · 479 across the 10 of their papers we have counts for
4 papers · 1 filter
Characterizing Structured versus Unstructured Environments based on Pedestrians' and Vehicles' Motion Trajectories
Mahsa Golchoubian, Moojan Ghafurian, Nasser Lashgarian Azad +1
Trajectory behaviours of pedestrians and vehicles operating close to each other can be different in unstructured compared to structured environments. These differences in the motio…
Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks
Mahsa Golchoubian, Moojan Ghafurian, Kerstin Dautenhahn +1
Predicting pedestrians' trajectories is a crucial capability for autonomous vehicles' safe navigation, especially in spaces shared with pedestrians. Pedestrian motion in shared spa…
Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review
Mahsa Golchoubian, Moojan Ghafurian, Kerstin Dautenhahn +1
Planning an autonomous vehicle's (AV) path in a space shared with pedestrians requires reasoning about pedestrians' future trajectories. A practical pedestrian trajectory predictio…
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning
Yuan Lin, John McPhee, Nasser L. Azad
The majority of current studies on autonomous vehicle control via deep reinforcement learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which includes…