Mate Fazekas

According to our database, Mate Fazekas authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Wheel odometry model calibration with neural network-based weighting.

Máté Fazekas, Péter Gáspár

Eng. Appl. Artif. Intell., 2024

State Estimation Design and Tuning for Autonomous Vehicles in the Era of Data-Based Techniques.

Máté Fazekas, Péter Gáspár

Proceedings of the 22nd IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2024

Evaluation of Local Planner-Based Stanley Control in Autonomous RC Car Racing Series.

Máté Fazekas, Zalán Demeter, János Tóth, Ármin Bogár-Németh, Gergely Bári

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

LPV-Based Control Design with Guarantees: a Case Study for Automated Steering of Road Vehicles.

Balázs Németh, Máté Fazekas, Zoltán Bagoly, Péter Gáspár, Olivier Sename

Proceedings of the European Control Conference, 2023

2022

Calibration of the Nonlinear Wheel Odometry Model with an Improved Genetic Algorithm Architecture.

Máté Fazekas, Balázs Németh, Péter Gáspár

Proceedings of the 19th International Conference on Informatics in Control, 2022

2021

Calibration and Improvement of an Odometry Model with Dynamic Wheel and Lateral Dynamics Integration.

Máté Fazekas, Péter Gáspár, Balázs Németh

Sensors, 2021

Parameter Identification of the Nonlinear Wheel Odometry Model with Batch Least Squares Method.

Máté Fazekas, Péter Gáspár, Balázs Németh

Proceedings of the 5th International Conference on Control and Fault-Tolerant Systems, 2021

Estimation of wheel odometry model parameters with improved Gauss-Newton method.

Máté Fazekas, Péter Gáspár, Balázs Németh

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2021

Challenges of the Application of Front-Wheel Odometry for Vehicle Localization.

Máté Fazekas, Péter Gáspár, Balázs Németh

Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Odometry Model Calibration for Self-Driving Vehicles with Noise Correction.

Máté Fazekas, Péter Gáspár, Balázs Németh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Improving the wheel odometry calibration of self-driving vehicles via detection of faulty segments.

Máté Fazekas, Péter Gáspár, Balázs Németh

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Identification of kinematic vehicle model parameters for localization purposes.

Máté Fazekas, Péter Gáspár, Balázs Németh

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020

Vehicle odometry model identification considering dynamic load transfers.

Máté Fazekas, Balázs Németh, Péter Gáspár, Olivier Sename

Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

Vision-based motion estimation for vehicles on test track via cone markers.

Máté Fazekas, Péter Gáspár, Balázs Németh

Proceedings of the 11th IEEE International Conference on Cognitive Infocommunications, 2020

2018

Anti-Lock Braking Control Design for Electric Vehicles Using LPV Methods.

Balázs Németh, Mate Fazekas, Peter Gaspar

Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018