Skip to main content
Vai all'homepage della Commissione europea (si apre in una nuova finestra)
italiano italiano
CORDIS - Risultati della ricerca dell’UE
CORDIS

Benchmarking of Wheel Corner Concepts Towards Optimal Comfort by Automated Driving

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Proof of concept and its feasibility demonstration (si apre in una nuova finestra)

Concept tested

HIL driving simulator (si apre in una nuova finestra)

Test platform developed within WP4, WP5 and produced after comparative analysis (WP3) for the simulator-based testing

Recommendations for automotive system developers (si apre in una nuova finestra)

After investigations of different concepts and prototype on-road tests, recommendations for industrial manufacturers will be developed

OWHEEL web-site (si apre in una nuova finestra)

Internet-portal of the project. Web-site should include both the public information and the data only for the project consortium

Pubblicazioni

Proposal of On-board Camera-Based Driving Force Control Method for Autonomous Electric Vehicles (si apre in una nuova finestra)

Autori: Takumi Ueno, Hugo Pousseur, Binh Minh Nguyen, Alessandro Correa Victorino, Hiroshi Fujimoto
Pubblicato in: 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2024, Pagina/e 424-429
Editore: IEEE
DOI: 10.1109/aim46323.2023.10196211

Autonomous vehicle navigation based in a hybrid methodology: model based and machine learning based (si apre in una nuova finestra)

Autori: Marcone Ferreira Santos, Alessandro Correa Victorino
Pubblicato in: 2021 IEEE International Conference on Mechatronics (ICM), 2021, Pagina/e 1-6
Editore: IEEE
DOI: 10.1109/icm46511.2021.9385629

Electric vehicle corner architecture: driving comfort evaluation using objective metrics (si apre in una nuova finestra)

Autori: Žuraulis Vidas; Kojis Paulius; Marotta Raffaele; Šukevičius Šarūnas; Šabanovič Eldar; Ivanov Valentin; Skrickij Viktor
Pubblicato in: 2022
Editore: SAE International
DOI: 10.4271/2022-01-0921

Offline and Online Tyre Model Reconstruction by Locally Weighted Projection Regression (si apre in una nuova finestra)

Autori: Iyer, K., Shyrokau, B. and Ivanov, V.
Pubblicato in: IEEE 16th International Workshop on Advanced Motion Control, 2020
Editore: IEEE
DOI: 10.1109/amc44022.2020.9244310

The second generation of electric vehicles: integrated corner solutions (si apre in una nuova finestra)

Autori: Kojis Paulius; Danilevičius Algimantas; Šabanovič Eldar; Skrickij Viktor
Pubblicato in: 2022, ISBN 9783030947736
Editore: Springer
DOI: 10.1007/978-3-030-94774-3_9

3DOP: Comfort-oriented Motion Planning for Automated Vehicles with Active Suspensions (si apre in una nuova finestra)

Autori: Yanggu Zheng; Barys Shyrokau; Tamas Keviczky
Pubblicato in: 2022 IEEE Intelligent Vehicles Symposium (IV), Numero 04-09 June 2022, 2022, ISBN 978-1-6654-8821-1
Editore: IEEE
DOI: 10.1109/iv51971.2022.9827152

Model Predictive Contouring Control for Vehicle Obstacle Avoidance at the Limit of Handling Using Torque Vectoring* (si apre in una nuova finestra)

Autori: Alberto Bertipaglia, Davide Tavernini, Umberto Montanaro, Mohsen Alirezaei, Riender Happee, Aldo Sorniotti, Barys Shyrokau
Pubblicato in: 2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2024, Pagina/e 1468-1475
Editore: IEEE
DOI: 10.1109/aim55361.2024.10637113

General and Multi-Criteria Approach to Study the Admissibility and Quality of a Driving Intention (si apre in una nuova finestra)

Autori: Hugo Pousseur, Alessandro Correa Victorino
Pubblicato in: 2023 IEEE Intelligent Vehicles Symposium (IV), 2023, Pagina/e 1-7
Editore: IEEE
DOI: 10.1109/iv55152.2023.10186528

Ride comfort comparison between suspension modes: Input towards designing difference threshold experiments during driving (si apre in una nuova finestra)

Autori: Cor-Jacques Kat, Kylian Praet, Miguel Dhaens, Schalk Els
Pubblicato in: Proceedings of the 11th Asia-Pacific regional conference of the ISTVS, Numero September 26-28, 2022, 2022, Pagina/e 191-194, ISBN 978-1-942112-53-2
Editore: International Society for Terrain-Vehicle Systems
DOI: 10.56884/mgkw8503

Optimal Energy Trajectory Generation Based on Pitch-Dependent Mutual Inductance Model for In-Flight Inductive Power Transfer of Drones (si apre in una nuova finestra)

Autori: Kota Fujimoto, Hiroshi Fujimoto, Alessandro Correa Victorino, Pedro Castillo
Pubblicato in: 2024 IEEE 18th International Conference on Advanced Motion Control (AMC), 2024, Pagina/e 1-6
Editore: IEEE
DOI: 10.1109/amc58169.2024.10505445

Comfort-Oriented Motion Planning for Automated Vehicles Using Deep Reinforcement Learning (si apre in una nuova finestra)

Autori: Nishant Rajesh, Yanggu Zheng, Barys Shyrokau
Pubblicato in: IEEE Open Journal of Intelligent Transportation Systems, Numero 4, 2024, Pagina/e 348-359, ISSN 2687-7813
Editore: IEEE
DOI: 10.1109/ojits.2023.3275275

On Pre-Emptive In-Wheel Motor Control for Reducing the Longitudinal Acceleration Oscillations Caused by Road Irregularities (si apre in una nuova finestra)

Autori: Victor Vidal, Pietro Stano, Gaetano Tavolo, Miguel Dhaens, Davide Tavernini, Patrick Gruber, Aldo Sorniotti
Pubblicato in: IEEE Transactions on Vehicular Technology, Numero 71, 2024, Pagina/e 9322-9337, ISSN 0018-9545
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvt.2022.3172172

On the Benefits of Torque Vectoring for Automated Collision Avoidance At the Limits of Handling (si apre in una nuova finestra)

Autori: Alberto Bertipaglia, Davide Tavernini, Umberto Montanaro, Mohsen Alirezaei, Riender Happee, Aldo Sorniotti, Barys Shyrokau
Pubblicato in: IEEE Transactions on Vehicular Technology, 2025, Pagina/e 1-16, ISSN 0018-9545
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvt.2025.3538955

Feasibility of a Neural Network-Based virtual sensor for vehicle unsprung mass relative velocity estimation. (si apre in una nuova finestra)

Autori: Eldar Šabanovič , Paulius Kojis, Šarūnas Šukevičius, Barys Shyrokau, Valentin Ivanov, Miguel Dhaens, Viktor Skrickij
Pubblicato in: Sensors, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21217139

Variability of Gravel Pavement Roughness: An Analysis of the Impact on Vehicle Dynamic Response and Driving Comfort (si apre in una nuova finestra)

Autori: Vidas Žuraulis,Henrikas Sivilevičius,Eldar Šabanovič,Valentin Ivanov, Viktor Skrickij
Pubblicato in: Applied Sciences, 2021, ISSN 2076-3417
Editore: Basel: MDPI
DOI: 10.3390/app11167582

DEEP NEURAL NETWORK BASED DATA-DRIVEN VIRTUAL SENSOR IN VEHICLE SEMI-ACTIVE SUSPENSION REAL-TIME CONTROL (si apre in una nuova finestra)

Autori: Kojis Paulius; Šabanovič Eldar; Skrickij Viktor
Pubblicato in: Transport, 2022, ISSN 1648-4142
Editore: Vilnius Gediminas Technical University
DOI: 10.3846/transport.2022.16919

Advancing Automotive Electronics: The Role of Collaborative Education and Project Development [Automotive Electronics] (si apre in una nuova finestra)

Autori: Binh-Minh Nguyen, João P. Trovão
Pubblicato in: IEEE Vehicular Technology Magazine, Numero 19, 2024, Pagina/e 116-127, ISSN 1556-6072
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mvt.2024.3414068

Drone-to-Vehicle Integration of Data: Design Concept and Application to Vehicle Automation System (si apre in una nuova finestra)

Autori: Viktar Beliautsou, Aleksandra Beliautsou, Valentin Ivanov, Binh-Minh Nguyen, Hiroshi Fujimoto
Pubblicato in: IEEE Vehicular Technology Magazine, 2025, Pagina/e 2-11, ISSN 1556-6072
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mvt.2025.3540749

Vibration-Induced Discomfort in Vehicles: A Comparative Evaluation Approach for Enhancing Comfort and Ride Quality (si apre in una nuova finestra)

Autori: Cor-Jacques Kat, Viktor Skrickij, Barys Shyrokau, Paulius Kojis, Miguel Dhaens, Sara Mantovani, Francesco Gherardini, Salvatore Strano, Mario Terzo, Hiroshi Fujimoto, Aldo Sorniotti, Pablo Camocardi, Alessandro Corrêa Victorino, Valentin Ivanov
Pubblicato in: SAE International Journal of Vehicle Dynamics, Stability, and NVH, Numero 8, 2024, ISSN 2380-2162
Editore: SAE International
DOI: 10.4271/10-08-02-0009

Assessment of Risky Cornering on a Horizontal Road Curve by Improving Vehicle Suspension Performance (si apre in una nuova finestra)

Autori: Vidas Žuraulis, Vytenis Surblys
Pubblicato in: The Baltic Journal of Road and Bridge Engineering, Numero 16, 2024, Pagina/e 1-27, ISSN 1822-427X
Editore: Vilnius Gediminas Technical University
DOI: 10.7250/bjrbe.2021-16.537

Mitigating Motion Sickness With Optimization-Based Motion Planning (si apre in una nuova finestra)

Autori: Yanggu Zheng, Barys Shyrokau, Tamas Keviczky
Pubblicato in: IEEE Transactions on Intelligent Vehicles, Numero 9, 2024, Pagina/e 2553-2563, ISSN 2379-8904
Editore: IEEE
DOI: 10.1109/tiv.2023.3289854

Development and Evaluation of Artificial Neural Networks for Real-World Data-Driven Virtual Sensors in Vehicle Suspension (si apre in una nuova finestra)

Autori: Eldar Šabanovič, Paulius Kojis, Valentin Ivanov, Miguel Dhaens, Viktor Skrickij
Pubblicato in: IEEE Access, Numero 12, 2024, Pagina/e 13183-13195, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3356715

Enhancing Wheel Vertical Displacement Estimation in Road Vehicles Through Integration of Model-Based Estimator With Artificial Intelligence (si apre in una nuova finestra)

Autori: Raffaele Marotta, Sebastiaan van Aalst, Kylian Praet, Miguel Dhaens, Valentin Ivanov, Salvatore Strano, Mario Terzo, Ciro Tordela
Pubblicato in: IEEE Open Journal of Vehicular Technology, Numero 5, 2025, Pagina/e 979-989, ISSN 2644-1330
Editore: IEEE
DOI: 10.1109/ojvt.2024.3431449

On the Energy Efficiency Potential of Multi-Actuated Electric Vehicles (si apre in una nuova finestra)

Autori: Matteo Dalboni, Gil Martins, Davide Tavernini, Umberto Montanaro, Alessandro Soldati, Carlo Concari, Miguel Dhaens, Aldo Sorniotti
Pubblicato in: IEEE Transactions on Vehicular Technology, Numero 73, 2025, Pagina/e 11150-11167, ISSN 0018-9545
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvt.2024.3378154

Curve Tilting With Nonlinear Model Predictive Control for Enhancing Motion Comfort (si apre in una nuova finestra)

Autori: Yanggu Zheng; Barys Shyrokau; Tamás Keviczky; Monzer Al Sakka; Miguel Dhaens
Pubblicato in: IEEE Transactions on Control Systems Technology, Numero Vol. 30, Iss. 4, 2021, Pagina/e 1538 - 1549, ISSN 1063-6536
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcst.2021.3113037

Comfort-oriented driving: performance comparison between human drivers and motion planners (si apre in una nuova finestra)

Autori: Yanggu Zheng, Barys Shyrokau, Tamas Keviczky
Pubblicato in: arXiv, 2023
Editore: Cornell University
DOI: 10.48550/arxiv.2301.10538

A Learning-Based Model Predictive Contouring Control for Vehicle Evasive Manoeuvres (si apre in una nuova finestra)

Autori: Alberto Bertipaglia, Mohsen Alirezaei, Riender Happee, Barys Shyrokau
Pubblicato in: Lecture Notes in Mechanical Engineering, 16th International Symposium on Advanced Vehicle Control, 2024, Pagina/e 632-638
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70392-8_89

È in corso la ricerca di dati su OpenAIRE...

Si è verificato un errore durante la ricerca dei dati su OpenAIRE

Nessun risultato disponibile

Il mio fascicolo 0 0