activity
20172025
most citedComparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control

234 citations · 479 across the 10 of their papers we have counts for

collaborators

11 papers

cs.HC2025★ 6 cited

What are Social Norms for Low-speed Autonomous Vehicle Navigation in Crowded Environments? An Online Survey

Mahsa Golchoubian, Moojan Ghafurian, Nasser Lashgarian Azad +1

It has been suggested that autonomous vehicles can improve efficiency and safety of the transportation systems. While research in this area often focuses on autonomous vehicles whi…

cs.RO2025★ 3 cited

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…

cs.RO2023

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…

cs.RO2023★ 105 cited

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…

eess.SY2022

Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning

Yuan Lin, John McPhee, Nasser L. Azad

Current research on Deep Reinforcement Learning (DRL) for automated on-ramp merging neglects vehicle powertrain and dynamics. This work considers automated on-ramp merging for a po…

math.OC2020★ 3 cited

Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers

Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad +3

Vehicle platooning has been shown to be quite fruitful in the transportation industry to enhance fuel economy, road throughput, and driving comfort. Model Predictive Control (MPC)…