Sajjad Mozaffari

Orcid: 0000-0001-8109-6953

According to our database1, Sajjad Mozaffari authored at least 14 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Fast and Robust Registration of Partially Overlapping Point Clouds.
IEEE Robotics Autom. Lett., 2022

Prediction Based Decision Making for Autonomous Highway Driving.
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


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