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Selected papers with code

Paper Repository and stars
Ernő Horváth, Claudiu Pozna, and Miklós Unger. Real-time lidar-based urban road and sidewalk detection for autonomous vehicles. Sensors, 2022. URL: https://github.com/jkk-research/urban_road_filter, doi:10.3390/s22010194.
github.com/jkk-research/urban_road_filter
Ernő Horváth, Claudiu Pozna, Péter Kőrös, Csaba Hajdu, and Áron Ballagi. Theoretical background and application of multiple goal pursuit trajectory follower. Hungarian Journal of Industry and Chemistry, 48(1):11–17, 2020.
github.com/jkk-research/wayp_plan_tools
Gergo Ferenc Igneczi, Erno Horvath, Roland Toth, and Krisztian Nyilas. Curve trajectory model for human preferred path planning of automated vehicles. Automotive Innovation, pages 1–12, 2024.
github.com/gfigneczi1/hlb
Krisztián Enisz, István Szalay, and Ernő Horváth. Localization robustness improvement for an autonomous race car using multiple extended kalman filters. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 0(0):09544070241266281, 2024. doi:10.1177/09544070241266281.
github.com/jkk-research/kalman_pos
Norbert Markó, Ernő Horváth, István Szalay, and Krisztián Enisz. Deep learning-based approach for autonomous vehicle localization: application and experimental analysis. Machines, 2023. URL: https://www.mdpi.com/2075-1702/11/12/1079, doi:10.3390/machines11121079.
github.com/jkk-research/pos-prediction

Bibliography

The list is generated from the refs.bib file.

  1. Gergő Ferenc Ignéczi, Ernő Horváth, and Attila Borsos. Analysis of drivers’ path follow behaviour. In ICINCO 2024, volume 2, 93 – 100. 2024. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-105002145066&doi=10.5220%2f0012889100003822&partnerID=40&md5=b1da939e5a1612aea385e17d8be45ff1, doi:10.5220/0012889100003822. ↩

  2. Ahmed Oultiligh, Hassan Ayad, Abdeljalil EL Kari, Mostafa Mjahed, Nada EL Gmili, Ernő Horváth, and Claudiu Pozna. An improved ieho super-twisting sliding mode control algorithm for trajectory tracking of a mobile robot. Studies in Informatics and Control, 33(1):49 – 60, 2024. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191085370&doi=10.24846%2fv33i1y202405&partnerID=40&md5=1bd6620d6d1a80394b7dc80a59e9487b, doi:10.24846/v33i1y202405. ↩

  3. Krisztián Enisz, István Szalay, and Ernő Horváth. Localization robustness improvement for an autonomous race car using multiple extended kalman filters. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 0(0):09544070241266281, 2024. doi:10.1177/09544070241266281. ↩

  4. Miklós Unger, Ernő Horváth, Dániel Pup, and Claudiu Radu Pozna. Towards robust lidar lane clustering for autonomous vehicle perception in ros 2. In 2024 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST), volume, 229–234. 2024. doi:10.1109/MOST60774.2024.00031. ↩

  5. Gergo Ferenc Igneczi, Erno Horvath, Roland Toth, and Krisztian Nyilas. Curve trajectory model for human preferred path planning of automated vehicles. Automotive Innovation, pages 1–12, 2024. ↩

  6. Gergo Ferenc Igneczi, Erno Horvath, and Krisztian Nyilas. A linear driver model of local path planning for lane driving. In 2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY), volume, 000103–000108. 2023. URL: https://ieeexplore.ieee.org/document/10417953, doi:10.1109/SISY60376.2023.10417953. ↩

  7. Norbert Markó, Ernő Horváth, István Szalay, and Krisztián Enisz. Deep learning-based approach for autonomous vehicle localization: application and experimental analysis. Machines, 2023. URL: https://www.mdpi.com/2075-1702/11/12/1079, doi:10.3390/machines11121079. ↩

  8. Rudolf Krecht, Tamás Budai, Ernõ Horváth, Ákos Kovács, Nobert Markó, and Miklós Unger. Network optimization aspects of autonomous vehicles: challenges and future directions. IEEE Network, 37(4):282–288, 2023. URL: https://ieeexplore.ieee.org/document/10293243, doi:10.1109/MNET.007.2300023. ↩

  9. Gergo Ferenc Igneczi and Erno Horvath. Node point optimization for local trajectory planners based on human preferences. In 2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI), volume, 000225–000230. 2023. doi:10.1109/SAMI58000.2023.10044488. ↩

  10. Ernő Horváth, Claudiu Pozna, and Miklós Unger. Real-time lidar-based urban road and sidewalk detection for autonomous vehicles. Sensors, 2022. URL: https://github.com/jkk-research/urban_road_filter, doi:10.3390/s22010194. ↩

  11. Gergő Ignéczi and Ernő Horváth. A clothoid-based local trajectory planner with extended kalman filter. In 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI), volume, 000467–000472. 2022. doi:10.1109/SAMI54271.2022.9780857. ↩

  12. Claudiu Pozna, Radu-Emil Precup, Ernő Horváth, and Emil M. Petriu. Hybrid particle filter–particle swarm optimization algorithm and application to fuzzy controlled servo systems. IEEE Transactions on Fuzzy Systems, 30(10):4286–4297, 2022. URL: https://ieeexplore.ieee.org/document/9697415, doi:10.1109/TFUZZ.2022.3146986. ↩

  13. Gergő Ignéczi, Ernő Horváth, and Dániel Pup. Implementation of a self-developed model predictive control scheme for vehicle parking maneuvers. 2021. arXiv:2109.10075. ↩

  14. Claudiu Radu Pozna, Csaba Antonya, and Ernö Horváth. Case study on the tactical level of an autonomous vehicle control. In 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), volume, 1–6. 2021. doi:10.1109/ICECCME52200.2021.9590868. ↩

  15. Ernő Horváth and Claudiu Radu Pozna. Clothoid-based trajectory following approach for self-driving vehicles. In 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), volume, 000251–000254. 2021. doi:10.1109/SAMI50585.2021.9378664. ↩

  16. Miklós Unger, Ernő Horváth, and Péter Kőrös. Development of point-cloud processing algorithm for self-driving challenges. In 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES), volume, 91–96. 2020. doi:10.1109/INES49302.2020.9147201. ↩

  17. Péter Kőrös, Gábor Szakállas, Péter Gulyás, Zoltán Pusztai, Zoltán Szeli, and Ernő Horváth. Self-driving vehicle sensors from one-seated experimental to road-legal vehicle. In 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES), volume, 97–102. 2020. doi:10.1109/INES49302.2020.9147181. ↩

  18. Ernő Horváth, Claudiu Pozna, Péter Kőrös, Csaba Hajdu, and Áron Ballagi. Theoretical background and application of multiple goal pursuit trajectory follower. Hungarian Journal of Industry and Chemistry, 48(1):11–17, 2020. ↩

  19. Ernö Horváth, C. Pozna, and Radu-Emil Precup. Robot coverage path planning based on iterative structured orientation. Acta Polytechnica Hungarica, 15:231–249, 01 2018. doi:10.12700/APH.15.1.2018.2.12. ↩