Abderrahmane Boubezoul

Orcid: 0000-0003-3967-1242

According to our database1, Abderrahmane Boubezoul authored at least 24 papers between 2007 and 2023.

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

Timeline

Legend:

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On csauthors.net:

Bibliography

2023
Data-Driven Methodology for the Investigation of Riding Dynamics: A Motorcycle Case Study.
IEEE Trans. Intell. Transp. Syst., September, 2023

Powered Two-Wheelers Right-Hand Curve Negotiation Study Using Segmentation and Data Mining Approaches.
IEEE Trans. Intell. Transp. Syst., March, 2023

2022
Multi-agent reinforcement learning for autonomous vehicles: a survey.
Auton. Intell. Syst., 2022

Online Human Intention Detection through Machine-learning based Algorithm for the Control of Lower-limbs Wearable Robot.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021
Driving-Pattern Identification and Event Detection Based on an Unsupervised Learning Framework: Case of a Motorcycle-Riding Simulator.
IEEE Access, 2021

Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
Powered Two-Wheeler Riding Profile Clustering for an In-Depth Study of Bend-Taking Practices.
Sensors, 2020

Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Non-Supervised Trajectory Segmentation and Cross Analysis of Riders' Dynamic Behavior in a Simulated Riding Platform.
Proceedings of the IEEE International Smart Cities Conference, 2020

Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2019
Lever Arm Compensation for a Motorcycle Trajectory Reconstruction System.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

A Comparative Analysis of Motorcycle Attitude Estimation in a Trajectory Reconstruction Framework.
Proceedings of the 6th International Conference on Control, 2019

2018
Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches.
IEEE Trans. Intell. Transp. Syst., 2018

A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System.
Sensors, 2018

2015
Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework.
IEEE Trans. Intell. Transp. Syst., 2015

Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
The Powered Two Wheelers fall detection using Multivariate CUmulative SUM (MCUSUM) control charts.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
Riding patterns recognition for Powered two-wheelers users' behaviors analysis.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012
Application of global optimization methods to model and feature selection.
Pattern Recognit., 2012

Autonomous motorcycles: Towards behavioral modeling of steering systems.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012

2011
Vehicule identification from inductive loops application : Travel time estimation for a mixed population of cars and trucks.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

2009
Combination of Roadside and In-vehicle Sensors for Extensive Visibility Range Monitoring.
Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009

2008
Application of the cross entropy method to the GLVQ algorithm.
Pattern Recognit., 2008

2007
Improving the GRLVQ Algorithm by the Cross Entropy Method.
Proceedings of the Artificial Neural Networks, 2007


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