Sajjad Mozaffari
Orcid: 0000-0001-8109-6953
According to our database1,
Sajjad Mozaffari
authored at least 15 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Trans. Intell. Transp. Syst., September, 2024
2023
Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks.
IEEE Robotics Autom. Lett., October, 2023
Exploiting Big Data for Experiment Reporting: The Hi-Drive Collaborative Research Project Case.
Sensors, September, 2023
Multimodal Manoeuvre and Trajectory Prediction for Autonomous Vehicles Using Transformer Networks.
CoRR, 2023
A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging Scenarios.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-Based Convolutional Neural Networks.
IEEE Trans. Intell. Veh., 2022
Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Robotics Autom. Lett., 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Visual Sensor Pose Optimisation Using Rendering-based Visibility Models for Robust Cooperative Perception.
CoRR, 2021
A Comparative Study of Ego-centric and Cooperative Perception for Lane Change Prediction in Highway Driving Scenarios.
Proceedings of the 2nd International Conference on Robotics, 2021
2020
Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment.
Sensors, 2020
2019
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review.
CoRR, 2019
2014
Highly scalable, shared-memory, Monte-Carlo tree search based Blokus Duo Solver on FPGA.
Proceedings of the 2014 International Conference on Field-Programmable Technology, 2014