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Sajjad Mozaffari
ORCID
Publication Activity (10 Years)
Years Active: 2014-2024
Publications (10 Years): 19
Top Topics
Neural Network
Cooperative
Visual Sensor
Lane Change
Top Venues
CoRR
ITSC
IEEE Robotics Autom. Lett.
Sensors
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Publications
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MReza Alipour Sormoli
,
Mehrdad Dianati
,
Sajjad Mozaffari
,
Roger Woodman
Optical Flow Based Detection and Tracking of Moving Objects for Autonomous Vehicles.
CoRR
(2024)
Sajjad Mozaffari
,
MReza Alipour Sormoli
,
Konstantinos Koufos
,
Mehrdad Dianati
Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks.
IEEE Robotics Autom. Lett.
8 (10) (2023)
Sajjad Mozaffari
,
MReza Alipour Sormoli
,
Konstantinos Koufos
,
Graham Lee
,
Mehrdad Dianati
Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging Scenarios.
ITSC
(2023)
Sajjad Mozaffari
,
Konstantinos Koufos
,
Mehrdad Dianati
Multimodal Manoeuvre and Trajectory Prediction for Autonomous Vehicles Using Transformer Networks.
CoRR
(2023)
Alessio Capello
,
Matteo Fresta
,
Francesco Bellotti
,
Hamed Haghighi
,
Johannes Hiller
,
Sajjad Mozaffari
,
Riccardo Berta
Exploiting Big Data for Experiment Reporting: The Hi-Drive Collaborative Research Project Case.
Sensors
23 (18) (2023)
MReza Alipour Sormoli
,
Amir Samadi
,
Sajjad Mozaffari
,
Konstantinos Koufos
,
Mehrdad Dianati
,
Roger Woodman
A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field.
ITSC
(2023)
MReza Alipour Sormoli
,
Amir Samadi
,
Sajjad Mozaffari
,
Konstantinos Koufos
,
Mehrdad Dianati
,
Roger Woodman
A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field.
CoRR
(2023)
Sajjad Mozaffari
,
M. Reza Alipour Sormoli
,
Konstantinos Koufos
,
Graham Lee
,
Mehrdad Dianati
Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging scenarios.
CoRR
(2023)
Sajjad Mozaffari
,
Eduardo Arnold
,
Mehrdad Dianati
,
Saber Fallah
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-Based Convolutional Neural Networks.
IEEE Trans. Intell. Veh.
7 (3) (2022)
Mustafa Yildirim
,
Sajjad Mozaffari
,
Luc McCutcheon
,
Mehrdad Dianati
,
Alireza Tamaddoni-Nezhad
,
Saber Fallah
Prediction Based Decision Making for Autonomous Highway Driving.
ITSC
(2022)
Eduardo Arnold
,
Sajjad Mozaffari
,
Mehrdad Dianati
Fast and Robust Registration of Partially Overlapping Point Clouds.
IEEE Robotics Autom. Lett.
7 (2) (2022)
Sajjad Mozaffari
,
Omar Y. Al-Jarrah
,
Mehrdad Dianati
,
Paul A. Jennings
,
Alexandros Mouzakitis
Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review.
IEEE Trans. Intell. Transp. Syst.
23 (1) (2022)
Mustafa Yildirim
,
Sajjad Mozaffari
,
Luc McCutcheon
,
Mehrdad Dianati
,
Alireza Tamaddoni-Nezhad
,
Saber Fallah
Prediction Based Decision Making for Autonomous Highway Driving.
CoRR
(2022)
Eduardo Arnold
,
Sajjad Mozaffari
,
Mehrdad Dianati
Fast and Robust Registration of Partially Overlapping Point Clouds.
CoRR
(2021)
Sajjad Mozaffari
,
Eduardo Arnold
,
Mehrdad Dianati
,
Saber Fallah
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks.
CoRR
(2021)
Eduardo Arnold
,
Sajjad Mozaffari
,
Mehrdad Dianati
,
Paul A. Jennings
Visual Sensor Pose Optimisation Using Rendering-based Visibility Models for Robust Cooperative Perception.
CoRR
(2021)
Sajjad Mozaffari
,
Eduardo Arnold
,
Mehrdad Dianati
,
Saber Fallah
A Comparative Study of Ego-centric and Cooperative Perception for Lane Change Prediction in Highway Driving Scenarios.
ROBOVIS
(2021)
Francesco Bellotti
,
Nisrine Osman
,
Eduardo Arnold
,
Sajjad Mozaffari
,
Satu Innamaa
,
Tyron Louw
,
Guilhermina Torrao
,
Hendrik Weber
,
Johannes Hiller
,
Alessandro De Gloria
,
Mehrdad Dianati
,
Riccardo Berta
Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment.
Sensors
20 (23) (2020)
Sajjad Mozaffari
,
Omar Y. Al-Jarrah
,
Mehrdad Dianati
,
Paul A. Jennings
,
Alexandros Mouzakitis
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review.
CoRR
(2019)
Ehsan Qasemi
,
Amir Samadi
,
Mohammad H. Shadmehr
,
Bardia Azizian
,
Sajjad Mozaffari
,
Amir Shirian
,
Bijan Alizadeh
Highly scalable, shared-memory, Monte-Carlo tree search based Blokus Duo Solver on FPGA.
FPT
(2014)