Survey of deep reinforcement learning for motion planning of autonomous vehicles

S Aradi - IEEE Transactions on Intelligent Transportation …, 2020 - ieeexplore.ieee.org
Academic research in the field of autonomous vehicles has reached high popularity in
recent years related to several topics as sensor technologies, V2X communications, safety …

Systematic analysis of driverless technologies

DJ Edwards, J Akhtar, I Rillie, N Chileshe… - Journal of engineering …, 2022 - emerald.com
Purpose The advent of Industry 4.0 has engendered opportunities for a coalescence of
digital technologies that collectively enable driverless vehicles to operate during the …

[HTML][HTML] Research scenarios of autonomous vehicles, the sensors and measurement systems used in experiments

L Prochowski, P Szwajkowski, M Ziubiński - Sensors, 2022 - mdpi.com
Automated and autonomous vehicles are in an intensive development phase. It is a phase
that requires a lot of modelling and experimental research. Experimental research into these …

Next generation X-in-the-loop validation methodology for automated vehicle systems

Z Szalay - IEEE Access, 2021 - ieeexplore.ieee.org
Testing self-driving vehicles is still a new and immature process; the globally harmonised
procedure expected much later. The resource-demanding nature of real-world tests makes it …

Vehicle-in-the-loop test environment for autonomous driving with microscopic traffic simulation

T Tettamanti, M Szalai, S Vass… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
In our days, vehicle automation is in a continuous evolutionary phase consisting of
experiments, testing and validation. Accelerating the development and deployment of …

The impact of social influence, technophobia, and perceived safety on autonomous vehicle technology adoption

S Koul, A Eydgahi - Periodica Polytechnica Transportation Engineering, 2020 - pp.bme.hu
The objective of this study was to determine whether there was a relationship between
social influence, technophobia, perceived safety of autonomous vehicle technology, number …

Hierarchical evasive path planning using reinforcement learning and model predictive control

Á Fehér, S Aradi, T Bécsi - IEEE Access, 2020 - ieeexplore.ieee.org
Motion planning plays an essential role in designing self-driving functions for connected and
autonomous vehicles. The methods need to provide a feasible trajectory for the vehicle to …

[HTML][HTML] Motorway measurement campaign to support R&D activities in the field of automated driving technologies

V Tihanyi, T Tettamanti, M Csonthó, A Eichberger… - Sensors, 2021 - mdpi.com
A spectacular measurement campaign was carried out on a real-world motorway stretch of
Hungary with the participation of international industrial and academic partners. The …

Principles of creating range for testing technologies and technical solutions related to intelligent transportation systems and unmanned driving

S Zhankaziev, A Vorob'yov, D Morozov - Transportation Research Procedia, 2020 - Elsevier
This article describes the basic components and functional capabilities of a testing range
that is planned to be created in Russia. With such a testing range, it will be possible to move …

[PDF][PDF] Vehicle-in-the-loop (VIL) and scenario-in-the-loop (SCIL) automotive simulation concepts from the perspectives of traffic simulation and traffic control

MT Horváth, Q Lu, T Tettamanti, Á Török… - Transport and …, 2019 - sciendo.com
As highly automated and autonomous vehicles (AVs) become more and more widespread,
inducing the change of traffic dynamics, significant changes occur in traditional traffic control …