Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Stefano Feraco"'
Publikováno v:
Communications, Vol 24, Iss 1, Pp C1-C17 (2022)
This paper presents a redundant multi-object detection method for autonomous driving, exploiting a combination of Light Detection and Ranging (LiDAR) and stereocamera sensors to detect different obstacles. These sensors are used for distinct percepti
Externí odkaz:
https://doaj.org/article/eff7ea3f241a4574a116faef08f8dd66
Autor:
Angelo Bonfitto, Stefano Feraco
Publikováno v:
Communications, Vol 23, Iss 3, Pp B165-B177 (2021)
This paper presents a method based on Artificial Neural Networks for estimation of the vehicle speed. The technique exploits the combination of two tasks: a) speed estimation by means of regression neural networks dedicated to different road conditio
Externí odkaz:
https://doaj.org/article/cc877e32af3c4d1ebb689b8a1519c304
Publikováno v:
Communications, Vol 23, Iss 2, Pp B117-B129 (2021)
This paper presents a method for the vehicle speed estimation with a Fuzzy Logic based algorithm. The algorithm acquires the measurements of the yaw rate, steering angle, wheel velocities and exploits a set of five Fuzzy Logics dedicated to different
Externí odkaz:
https://doaj.org/article/af19bc800cb94968a63f139647fe6128
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7225 (2021)
Self-driving vehicles have experienced an increase in research interest in the last decades. Nevertheless, fully autonomous vehicles are still far from being a common means of transport. This paper presents the design and experimental validation of a
Externí odkaz:
https://doaj.org/article/5c3b6ab2b90541508b4a824a8a40c1e4
Autor:
Raffaele Manca, Salvatore Circosta, Irfan Khan, Stefano Feraco, Sara Luciani, Nicola Amati, Angelo Bonfitto, Renato Galluzzi
Publikováno v:
Actuators, Vol 10, Iss 7, p 165 (2021)
In the context of automated driving, Electric Power Steering (EPS) systems represent an enabling technology. They introduce the ergonomic function of reducing the physical effort required by the driver during the steering maneuver. Furthermore, EPS g
Externí odkaz:
https://doaj.org/article/9aa2fc909e50427bb3f19672a4fb91f2
Publikováno v:
Batteries, Vol 5, Iss 2, p 47 (2019)
This paper presents a tradeoff analysis in terms of accuracy and computational cost between different architectures of artificial neural networks for the State of Charge (SOC) estimation of lithium batteries in hybrid and electric vehicles. The consi
Externí odkaz:
https://doaj.org/article/5986adb365794b7abafb022864a6b1d5
Publikováno v:
Communications - Scientific letters of the University of Zilina. 24:C1-C17
This paper presents a redundant multi-object detection method for autonomous driving, exploiting a combination of Light Detection and Ranging (LiDAR) and stereocamera sensors to detect different obstacles. These sensors are used for distinct percepti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::602cf7dc644823d4a0c90ce1def9855b
https://doi.org/10.26552/com.c.2022.1.c1-c17
https://doi.org/10.26552/com.c.2022.1.c1-c17
Autor:
Stefano Feraco, Angelo Bonfitto
Publikováno v:
Communications - Scientific letters of the University of Zilina. 23:B165-B177
This paper presents a method based on Artificial Neural Networks for estimation of the vehicle speed. The technique exploits the combination of two tasks: a) speed estimation by means of regression neural networks dedicated to different road conditio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95acf49f48a61348ad7991eb7b9502f6
https://doi.org/10.26552/com.c.2021.3.b165-b177
https://doi.org/10.26552/com.c.2021.3.b165-b177
Autor:
Shailesh Hegde, Renato Galluzzi, Stefano Feraco, Enrico Cesare Zenerino, Andrea Tonoli, Angelo Bonfitto
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology. 234:328-336
Safety improvements in mountaineering gear have enabled the increasing popularity of rock climbing as a sport. Both amateurs and experts want to know the condition of their equipment with a high degree of reliability. For climbing ropes, diagnostics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd3e1bb2ebe1a41e0f6cbbd26e4e660f
https://doi.org/10.1177/1754337120905674
https://doi.org/10.1177/1754337120905674
The State of Charge (SOC) estimation in Lithium-ion batteries is a challenging task that is currently assessed with different methods in a vast variety of applications. This paper presents the design and assessment of two SOC estimation methods, base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2df7207cb252418ab7b6776161fa71b6
https://hdl.handle.net/11583/2973081
https://hdl.handle.net/11583/2973081
