673 citations · 771 across the 9 of their papers we have counts for
9 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…
Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks
Sajjad Mozaffari, Mreza Alipour Sormoli, Konstantinos Koufos +1
Predicting the behaviour (i.e., manoeuvre/trajectory) of other road users, including vehicles, is critical for the safe and efficient operation of autonomous vehicles (AVs), a.k.a.…
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…
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks
Sajjad Mozaffari, Eduardo Arnold, Mehrdad Dianati +1
Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to various road accident records. Thus, reliably predicting such manoeuvre in advance is crit…
Visual Sensor Pose Optimisation Using Visibility Models for Smart Cities
Eduardo Arnold, Sajjad Mozaffari, Mehrdad Dianati +1
Visual sensor networks are used for monitoring traffic in large cities and are promised to support automated driving in complex road segments. The pose of these sensors, i.e. posit…
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review
Sajjad Mozaffari, Omar Y. Al-Jarrah, Mehrdad Dianati +2
Behaviour prediction function of an autonomous vehicle predicts the future states of the nearby vehicles based on the current and past observations of the surrounding environment.…