15 citations · 17 across the 5 of their papers we have counts for
5 papers
Towards A General-Purpose Motion Planning for Autonomous Vehicles Using Fluid Dynamics
MReza Alipour Sormoli, Konstantinos Koufos, Mehrdad Dianati +1
General-purpose motion planners for automated/autonomous vehicles promise to handle the task of motion planning (including tactical decision-making and trajectory generation) for v…
A Survey on Hybrid Motion Planning Methods for Automated Driving Systems
MReza Alipour Sormoli, Konstantinos Koufos, Mehrdad Dianati +1
Motion planning is an essential element of the modular architecture of autonomous vehicles, serving as a bridge between upstream perception modules and downstream low-level control…
Optical Flow Based Detection and Tracking of Moving Objects for Autonomous Vehicles
MReza Alipour Sormoli, Mehrdad Dianati, Sajjad Mozaffari +1
Accurate velocity estimation of surrounding moving objects and their trajectories are critical elements of perception systems in Automated/Autonomous Vehicles (AVs) with a direct i…
A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field
MReza Alipour Sormoli, Amir Samadi, Sajjad Mozaffari +3
Anticipating the motion of other road users is crucial for automated driving systems (ADS), as it enables safe and informed downstream decision-making and motion planning. Unfortun…
Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging scenarios
Sajjad Mozaffari, Mreza Alipour Sormoli, Konstantinos Koufos +2
Accurate trajectory prediction of nearby vehicles is crucial for the safe motion planning of automated vehicles in dynamic driving scenarios such as highway merging. Existing metho…