Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Josep R. Casas"'
Autor:
Federico Dios, Sergio Torres-Benito, Jose A. Lázaro, Josep R. Casas, Jorge Pinazo, Adolfo Lerín
Publikováno v:
Telecom, Vol 5, Iss 3, Pp 508-521 (2024)
Among the sensors necessary to equip vehicles with an autonomous driving system, there is a tacit agreement that cameras and some type of radar would be essential. The ability of radar to spatially locate objects (pedestrians, other vehicles, trees,
Externí odkaz:
https://doaj.org/article/c86e804fba5e49409510d40c3ccb2494
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 9, p 254 (2023)
Fog, haze, or smoke are standard atmospheric phenomena that dramatically compromise the overall visibility of any scene, critically affecting features such as the illumination, contrast, and contour detection of objects. The decrease in visibility co
Externí odkaz:
https://doaj.org/article/48ae10d8d48644e7a0a5629d5a4bd543
Autor:
Alfredo Chávez Plascencia, Pablo García-Gómez, Eduardo Bernal Perez, Gerard DeMas-Giménez, Josep R. Casas, Santiago Royo
Publikováno v:
Sensors, Vol 23, Iss 8, p 4167 (2023)
Most pedestrian detection methods focus on bounding boxes based on fusing RGB with lidar. These methods do not relate to how the human eye perceives objects in the real world. Furthermore, lidar and vision can have difficulty detecting pedestrians in
Externí odkaz:
https://doaj.org/article/c4646d27f89341e28f0449d52a4ba10d
Autor:
Jordi Temprana-Salvador, Pablo López-García, Josep Castellví Vives, Lluís de Haro, Eudald Ballesta, Matias Rojas Abusleme, Miquel Arrufat, Ferran Marques, Josep R. Casas, Carlos Gallego, Laura Pons, José Luis Mate, Pedro Luis Fernández, Eugeni López-Bonet, Ramon Bosch, Salomé Martínez, Santiago Ramón y Cajal, Xavier Matias-Guiu
Publikováno v:
Diagnostics, Vol 12, Iss 4, p 852 (2022)
Complete digital pathology transformation for primary histopathological diagnosis is a challenging yet rewarding endeavor. Its advantages are clear with more efficient workflows, but there are many technical and functional difficulties to be faced. T
Externí odkaz:
https://doaj.org/article/c4bb6e83fcfe4b129c1dd15c1ebc389d
Publikováno v:
Sensors, Vol 20, Iss 10, p 2898 (2020)
This paper presents a novel calibration method for solid-state LiDAR devices based on a geometrical description of their scanning system, which has variable angular resolution. Determining this distortion across the entire Field-of-View of the system
Externí odkaz:
https://doaj.org/article/12a48dabf9df46378a54200720134386
Publikováno v:
Sensors, Vol 19, Iss 8, p 1795 (2019)
Semantic segmentation and depth estimation are two important tasks in computer vision, and many methods have been developed to tackle them. Commonly these two tasks are addressed independently, but recently the idea of merging these two problems into
Externí odkaz:
https://doaj.org/article/71e935fa7eed45d5bbe19cc4dce54014
Autor:
Josep R. Casas, Javier Hernando, Climent Nadeu, Xavier Giró, Carlos Segura, Cristian Canton-Ferrer, Taras Butko
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/b5998f8b3b864c249878bd0db8bf5b63
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
Externí odkaz:
https://doaj.org/article/56664aef310a446abca22b8da600ab6d
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2008 (2007)
This article presents a multimodal approach to head pose estimation of individuals in environments equipped with multiple cameras and microphones, such as SmartRooms or automatic video conferencing. Determining the individuals head orientation is the
Externí odkaz:
https://doaj.org/article/0feb4ed8cddb456ea2eb7323762f7f88
Fog, haze, or smoke are usual atmospheric phenomena that dramatically compromise the overall visibility of any scene, critically affecting features such as illumination, contrast, and contour detection of objects. The decrease in visibility compromis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e57508240a0c807a79397b0e446ab1c9
https://doi.org/10.20944/preprints202209.0127.v1
https://doi.org/10.20944/preprints202209.0127.v1
