Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Viktor Tihanyi"'
Publikováno v:
Sensors, Vol 24, Iss 14, p 4490 (2024)
Border surveillance and the monitoring of critical infrastructure are essential components of regional and industrial security. In this paper, our purpose is to study the intricate nature of surveillance methods used by hybrid monitoring systems util
Externí odkaz:
https://doaj.org/article/0269166f6b374bbe9660a39de4de70d6
Autor:
Tamas Lovas, Tamas Ormandi, Arpad Jozsef Somogyi, Daniel Baranyai, Viktor Tihanyi, Tamas Tettamanti
Publikováno v:
IEEE Access, Vol 10, Pp 42690-42698 (2022)
Digital twins of road surfaces support multiple engineering applications. Remote sensing technologies provide information from the entire surface of the pavement by high accuracy point clouds. Pavement errors and differences from designed geometry ca
Externí odkaz:
https://doaj.org/article/9ab0a1986fb7419fb8ae13c87bdaefeb
Publikováno v:
IEEE Access, Vol 10, Pp 91213-91226 (2022)
The representation of objects in LiDAR point clouds is changed as the height of the mounting position of sensor devices gets increased. Most of the available open datasets for training machine learning based object detectors are generated with vehicl
Externí odkaz:
https://doaj.org/article/19ba306bf9bd4b1fbbff942a2d327517
Publikováno v:
IEEE Access, Vol 10, Pp 35422-35436 (2022)
Vehicle dynamics models are widely used in many areas of the automotive industry. The usability of each model depends on how well it is able to mimic the behavior of the real vehicle. Each simulation model must go through a thorough investigation pro
Externí odkaz:
https://doaj.org/article/5273dd6b2a64406f876d4b20d315e145
Autor:
Tamás Tomaschek, Viktor Tihanyi
Publikováno v:
Perner’s Contacts, Vol 17, Iss 2 (2022)
Open road testing is an essential stage of the process of approving driver assistance and other self-driving functions. However several countries have opened their network with or without limitations for autonomous vehicle testing, there are some sec
Externí odkaz:
https://doaj.org/article/97b15ebfbccb49918a79f69a133ee765
Autor:
Kálmán Gangel, Zoltán Hamar, András Háry, Áron Horváth, Gábor Jandó, Balázs Könyves, Dániel Panker, Krisztián Pintér, Márton Pataki, Mátyás Szalai, Zsolt Szalay, Tamás Tettamanti, Viktor Tihanyi, Bálint Tóth, Balázs Varga, Zsolt János Viharos
Publikováno v:
Acta Technica Jaurinensis, Vol 14, Iss 4, Pp 488-507 (2021)
In our days, simulation based development is a core element of vehicle engineering, especially considering highly automated or fully autonomous vehicles. Accordingly, the paper presents a benchmark of three different automotive simulators: PreScan, I
Externí odkaz:
https://doaj.org/article/6595d48c252444cda20d64a7241484c4
Autor:
Ádám Domina, Viktor Tihanyi
Publikováno v:
Sensors, Vol 23, Iss 15, p 6862 (2023)
In this paper, a model predictive control (MPC) approach for controlling automated vehicle steering during path tracking is presented. A (linear parameter-varying) LPV vehicle plant model including steering dynamics is proposed to determine the syste
Externí odkaz:
https://doaj.org/article/1f81884b84ec4eb9938a15b3bf69086e
Publikováno v:
ICT Express, Vol 5, Iss 4, Pp 219-226 (2019)
Autonomous driving is an old desire of mankind. The main purpose of this article is to present an autonomous lane changing method, that enables fully automated lane changing if given safety criteria are met. Environment detection is executed by multi
Externí odkaz:
https://doaj.org/article/b815d45287c841f2bf2239848e8d8488
Autor:
Ádám Domina, Viktor Tihanyi
Publikováno v:
Sensors, Vol 22, Iss 15, p 5807 (2022)
In this paper, a linear time-varying model predictive controller (LTV-MPC) is proposed for automated vehicle path-following applications. In the field of path following, the application of nonlinear MPCs is becoming more common; however, the major di
Externí odkaz:
https://doaj.org/article/bdd697ce7283493ebda0ead2aa6789f8
Publikováno v:
Transport, Vol 35, Iss 4 (2020)
The traditional automotive homologation processes aim to ensure the safety of vehicles on public roads. Autonomous Vehicles (AV) with Artificial Intelligence (AI) are difficult to account for in these conventional processes. This research aims to map
Externí odkaz:
https://doaj.org/article/95c3ee2d4cc949c480831554c2dc786d