Virtual Testing of Automated Driving Systems. A Survey on Validation Methods

Autor: Riccardo Dona, Biagio Ciuffo

Publikováno v: IEEE Access, Vol 10, Pp 24349-24367 (2022)

This paper surveys the state-of-the-art contributions supporting the validation of virtual testing toolchains for Automated Driving System (ADS) verification. The work builds upon the well-known limitations of physical testing while conceiving the vi

Externí odkaz: https://doaj.org/article/ddab658ec5d74df2898368581285914c

Agent Architecture for Adaptive Behaviors in Autonomous Driving

Autor: Mauro Da Lio, Riccardo Dona, Gastone Pietro Rosati Papini, Kevin Gurney

Publikováno v: IEEE Access, Vol 8, Pp 154906-154923 (2020)

Evolution has endowed animals with outstanding adaptive behaviours which are grounded in the organization of their sensorimotor system. This paper uses inspiration from these principles of organization in the design of an artificial agent for autonom

Externí odkaz: https://doaj.org/article/1b1aa448a45f40ba89054cc16e94c0d7

A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving System: Safe Speed Choice in the Interaction With Distracted Pedestrians

Autor: Mauro Da Lio, Gastone Pietro Rosati Papini, Alice Plebe, Riccardo Dona

Publikováno v: IEEE Transactions on Intelligent Transportation Systems. 23:8805-8822

Driving requires the ability to handle unpredictable situations. Since it is not always possible to predict an impending danger, a good driver should preventively assess whether a situation has risks and adopt a safe behavior. Considering, in particu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f55067b55ca9087482446b8d4f2212e
https://doi.org/10.1109/tits.2021.3086397

On the Stability and Robustness of Hierarchical Vehicle Lateral Control With Inverse/Forward Dynamics Quasi-Cancellation

Autor: Mauro Da Lio, Gastone Pietro Rosati Papini, Luca Zaccarian, Riccardo Dona

Publikováno v: IEEE Transactions on Vehicular Technology
IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers, 2019, 68 (11), pp.10559-10570. ⟨10.1109/TVT.2019.2941379⟩
IEEE Transactions on Vehicular Technology, 2019, 68 (11), pp.10559-10570. ⟨10.1109/TVT.2019.2941379⟩

International audience; This paper studies a control architecture for vehicle lateral dynamics based on the execution of optimal trajectories via feedforward inverse model control. The focus here is on assessing the robustness of this arrangement whe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78dd25464c0efce816c433f4c58d2290
https://doi.org/10.1109/tvt.2019.2941379

Towards Bi‐Dimensional driver models for automated driving system safety requirements: Validation of a kinematic model for evasive lane‐change maneuvers

Autor: Riccardo Donà, Konstantinos Mattas, Biagio Ciuffo

Publikováno v: IET Intelligent Transport Systems, Vol 17, Iss 9, Pp 1784-1798 (2023)

Abstract Preventing traffic accidents is of paramount importance for society's well‐being. The topic is particularly relevant for driving automation given the high expectations about automated vehicles and the difficulty in estimating reliable safe

Externí odkaz: https://doaj.org/article/4e2e415b851f49bbb0f9703446253a1e