Advanced scenario generation for calibration and verification of autonomous vehicles

X Li, S Teng, B Liu, X Dai, X Na… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As driving scenarios and autonomous vehicles (AVs) become increasingly intricating, there
is an increasing need for innovative frameworks that can enhance and test AV capabilities …

[HTML][HTML] Optimizing vehicle dynamics co-simulation performance by introducing mesoscopic traffic simulation

B Varga, D Doba, T Tettamanti - Simulation modelling practice and theory, 2023 - Elsevier
Microscopic traffic simulation is often used in conjunction with vehicle dynamics simulation
to test cooperative or perception-based driver assistance functions. On the other hand …

[HTML][HTML] Fields of interest and demands for a digital proving ground twin

N Katzorke, C Vinçon, P Kolar, H Lasi - Transportation Research …, 2023 - Elsevier
The general understanding among scientists in the field of intelligent vehicles is that
physical testing alone is not sufficient to achieve full driving automation in an economically …

Cell fault identification and localization procedure for lithium-ion battery system of electric vehicles based on real measurement data

S Kocsis Szürke, G Sütheö, A Apagyi, I Lakatos… - Algorithms, 2022 - mdpi.com
Vehicle safety risk can be decreased by diagnosing the lithium-ion battery system of electric
road vehicles. Real-time cell diagnostics can avoid unexpected occurrences. However …

Development and Functional Validation Method of the Scenario-in-the-Loop Simulation Control Model Using Co-Simulation Techniques

B Toth, Z Szalay - Machines, 2023 - mdpi.com
With the facilitated development of highly automated driving functions and automated
vehicles, the need for advanced testing techniques also arose. With a near-infinite number …

OpenCRG models from different data sources to support vehicle simulations

T Lovas, T Ormándi, ÁJ Somogyi, D Baranyai… - IEEE …, 2022 - ieeexplore.ieee.org
Digital twins of road surfaces support multiple engineering applications. Remote sensing
technologies provide information from the entire surface of the pavement by high accuracy …

HackCar: a test platform for attacks and defenses on a cost-contained automotive architecture

D Stabili, F Valgimigli, E Torrini, M Marchetti - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we introduce the design of HackCar, a testing platform for replicating attacks
and defenses on a generic automotive system without requiring access to a complete …

Autonomous Vehicle Drift With a Soft Actor-critic Reinforcement Learning Agent

SH Tóth, ZJ Viharos, Á Bárdos - 2022 IEEE 20th Jubilee World …, 2022 - ieeexplore.ieee.org
Self-driving vehicles have become a more and more important field in recent years.
Supported by the techniques of Artificial Intelligence (AI), the current tendency of positive …

[PDF][PDF] Initiation and Stabilization of Drifting Motion of a Self-driving Vehicle with a Reinforcement Learning Agent

SH Tóth, Á Bárdos, ZJ Viharos - 2022 - eprints.sztaki.hu
Performing special driving techniques like drifting can be challenging even for professional
human drivers. However, such maneuvers can be essential for avoiding accidents in critical …

Digital Map Generation Workflow Demonstrated on ZalaZONE Automotive Proving Ground Elements

Á Somogyi, T Tettamanti, P Varga… - NOMS 2023-2023 …, 2023 - ieeexplore.ieee.org
One major goal of digital twin technology applied in the Architecture, Engineering, and
Construction (AEC) Industry is the mapping of roads and road environments with their …