Elenco Pubblicazioni - Publications (1446)
Sisto, A.; Pilato, L.; Serventi, R.; Fanucci, L., "A design platform for flexible programmable DSP for automotive sensor conditioning," NORCHIP & International Symposium on System-on-Chip (SoC), 2015 , vol., no., pp.1-4, 26-28 Oct. 2015
Written by LUCA PILATO
Sisto, A.; Pilato, L.; Serventi, R.; Fanucci, L., "A design platform for flexible programmable DSP for automotive sensor conditioning," in Nordic Circuits and Systems Conference (NORCAS): NORCHIP & International Symposium on System-on-Chip (SoC), 2015 ,…
Sarti L, Sisto A, Pilato L, Di Piro L, Fanucci L. "Platform based design of 3D Hall sensor conditioning electronics," in Ph.D. Research in Microelectronics and Electronics (PRIME), 2015 11th Conference on , vol., no., pp.200-203, June 29 2015-July 2
Written by LUCA PILATO
In this paper the modeling activity for the realization of a general architecture suitable to interface a heterogeneous set of magnetic sensors for automotive applications is presented. This work represents the first step of a…
G. Franzini, M. Innocenti, "Nonlinear H-infinity Control of Relative Motion in Space via the State-Dependent Riccati Equations", in Proc. 54th IEEE Conference on Decision and Control, Osaka, Japan, 2015, pp. 3409-3414.
Written by GIOVANNI FRANZINI
Relative guidance algorithms for space applications were identified by several space agencies as an enabling technology for future missions development. Whenever two or more space vehicles must coordinate their motion, or a terminal rendezvous has…
Carrara F, Falchi F, Gennaro C. Semiautomatic Learning of 3D Objects from Video Streams. Similarity Search and Applications. 2015:217-28.
Written by FABIO CARRARA
Object detection and recognition are classical problems in computer vision, but are still challenging without a priori knowledge of objects and with a limited user interaction. In this work, a semiautomatic system for visual object…
Carrara F, Amato G, Falchi F, Gennaro C. Efficient foreground-background segmentation using local features for object detection. InProceedings of the 9th International Conference on Distributed Smart Camera 2015 Sep 8 (pp. 175-180). ACM.
Written by FABIO CARRARA
In this work, a local feature based background modelling for background-foreground feature segmentation is presented. In local feature based computer vision applications, a local feature based model presents advantages with respect to classical pixel-based ones…
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