Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Gastone Pietro Rosati Papini"'
Publikováno v:
IEEE Access, Vol 12, Pp 138076-138085 (2024)
Ensuring the privacy of personal data is crucial in the era of big data, especially in the transportation industry where sensitive data needs to be processed to develop intelligent vehicle technologies. In particular, collecting and analyzing anomalo
Externí odkaz:
https://doaj.org/article/9a2d07d117014751a6071a82a2e84d83
Autor:
Alessandro Antonucci, Gastone Pietro Rosati Papini, Paolo Bevilacqua, Luigi Palopoli, Daniele Fontanelli
Publikováno v:
IEEE Access, Vol 10, Pp 144-157 (2022)
Generating accurate and efficient predictions for the motion of the humans present in the scene is key to the development of effective motion planning algorithms for robots moving in promiscuous areas, where wrong planning decisions could generate sa
Externí odkaz:
https://doaj.org/article/51d89e8422e5430cae89d49d8e5cff65
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
This paper focuses on the collaboration between human drivers and intelligent vehicles. We propose a collaboration mechanism grounded on the concept of distributed cognition. With distributed cognition, intelligence does not lie just in the single en
Externí odkaz:
https://doaj.org/article/ac591b3460174cf79601235af700e777
Publikováno v:
IEEE Access, Vol 8, Pp 192041-192064 (2020)
This paper presents a novel approach to learning predictive motor control via “mental simulations”. The method, inspired by learning via mental imagery in natural Cognition, develops in two phases: first, the learning of predictive models based o
Externí odkaz:
https://doaj.org/article/ce8b882837744164a8192d9d9cef0ece
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
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
https://doi.org/10.1109/tits.2021.3086397
Publikováno v:
IEEE Robotics and Automation Letters. 7:1254-1261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3049338d2ebc7c6c39f6a884f66d89f0
https://doi.org/10.1109/lra.2021.3136646
https://doi.org/10.1109/lra.2021.3136646
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⟩
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
https://doi.org/10.1109/tvt.2019.2941379
Publikováno v:
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021
This work investigates the validity of an occupancy grid mapping inspired by human cognition and the way humans visually perceive the environment. This query is motivated by the fact that, to date, no autonomous driving system reaches the performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ed651a99f5c5c9de6881c01bdd1b088
https://doi.org/10.1109/iccvw54120.2021.00328
https://doi.org/10.1109/iccvw54120.2021.00328
