15 citations · 16 across the 5 of their papers we have counts for
5 papers
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…
Prediction Based Decision Making for Autonomous Highway Driving
Mustafa Yildirim, Sajjad Mozaffari, Luc McCutcheon +2
Autonomous driving decision-making is a challenging task due to the inherent complexity and uncertainty in traffic. For example, adjacent vehicles may change their lane or overtake…
Fast and Robust Registration of Partially Overlapping Point Clouds
Eduardo Arnold, Sajjad Mozaffari, Mehrdad Dianati
Real-time registration of partially overlapping point clouds has emerging applications in cooperative perception for autonomous vehicles and multi-agent SLAM. The relative translat…