Optimal control of overtaking maneuver for intelligent vehicles B Németh, P Gáspár, T Hegedűs Journal of Advanced Transportation 2018 (1), 2195760, 2018 | 31 | 2018 |
Graph-based multi-vehicle overtaking strategy for autonomous vehicles T Hegedűs, B Németh, P Gáspár IFAC-PapersOnLine 52 (5), 372-377, 2019 | 17 | 2019 |
Design of Model Free Control with tuning method on ultra-local model for lateral vehicle control purposes T Hegedűs, D Fényes, B Németh, Z Szabó, P Gáspár 2022 American Control Conference (ACC), 4101-4106, 2022 | 15 | 2022 |
Model predictive control design for overtaking maneuvers for multi-vehicle scenarios B Németh, T Hegedűs, P Gáspár 2019 18th European Control Conference (ECC), 744-749, 2019 | 15 | 2019 |
Design of a low-complexity graph-based motion-planning algorithm for autonomous vehicles T Hegedűs, B Németh, P Gáspár Applied Sciences 10 (21), 7716, 2020 | 14 | 2020 |
Challenges and possibilities of overtaking strategies for autonomous vehicles T Hegedűs, B Németh, P Gáspár Periodica Polytechnica Transportation Engineering 48 (4), 320-326, 2020 | 13 | 2020 |
Robust control design for autonomous vehicles using neural network-based model-matching approach D Fényes, T Hegedus, B Németh, P Gáspár Energies 14 (21), 7438, 2021 | 11 | 2021 |
Handling of tire pressure variation in autonomous vehicles: an integrated estimation and control design approach T Hegedűs, D Fényes, B Németh, P Gáspár 2020 American Control Conference (ACC), 2244-2249, 2020 | 9 | 2020 |
Improving sustainable safe transport via automated vehicle control with closed-loop matching T Hegedűs, D Fényes, B Németh, P Gáspár Sustainability 13 (20), 11264, 2021 | 7 | 2021 |
Design framework for achieving guarantees with learning-based observers B Németh, T Hegedűs, P Gáspár Energies 14 (8), 2039, 2021 | 6 | 2021 |
Robust control design using ultra-local model-based approach for vehicle-oriented control problems D Fényes, T Hegedűs, B Németh, Z Szabó, P Gáspár 2022 European Control Conference (ECC), 1746-1751, 2022 | 5 | 2022 |
Performance guarantees on machine-learning-based overtaking strategies for autonomous vehicles B Németh, T Hegedűs, P Gáspár 2020 European Control Conference (ECC), 136-141, 2020 | 5 | 2020 |
Observer design with performance guarantees for vehicle control purposes via the integration of learning-based and LPV approaches D Fényes, T Hegedűs, B Németh, P Gáspár 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 122-127, 2021 | 4 | 2021 |
Implementation and design of ultra-local model-based control strategy for autonomous vehicles T Hegedűs, D Fényes, Z Szabó, B Németh, L Lukács, R Csikja, P Gáspár Vehicle System Dynamics 62 (6), 1541-1564, 2024 | 3 | 2024 |
Mpc based semi-active suspension control for overtaking maneuvers T Hegedűs, B Németh, P Gáspár Periodica Polytechnica Transportation Engineering 49 (3), 224-230, 2021 | 3 | 2021 |
Estimation of cornering stiffness using ultra-local model and lpv-based observer D Fényes, T Hegedűs, P Gáspár IFAC-PapersOnLine 58 (4), 437-442, 2024 | 2 | 2024 |
Combined LPV and ultra-local model-based control design approach for autonomous vehicles D Fényes, T Hegedűs, B Németh, Z Szabó, P Gáspár 2022 IEEE 61st Conference on Decision and Control (CDC), 3303-3308, 2022 | 2 | 2022 |
LPV control for autonomous vehicles using a machine learning-based tire pressure estimation D Fényes, T Hegedűs, B Németh, P Gáspár, D Koenig, O Sename 2020 28th Mediterranean Conference on Control and Automation (MED), 212-217, 2020 | 2 | 2020 |
Multi-objective trajectory design for overtaking maneuvers of automated vehicles T Hegedüs, B Németh, P Gáspár IFAC-PapersOnLine 53 (2), 15566-15571, 2020 | 2 | 2020 |
Identification of Tire Characteristics Using Physics-Informed Neural Network for Road Vehicles T Hegedűs, B Németh, P Gáspár 2024 32nd Mediterranean Conference on Control and Automation (MED), 706-711, 2024 | 1 | 2024 |