{"id":2078,"date":"2024-01-09T07:52:01","date_gmt":"2024-01-09T07:52:01","guid":{"rendered":"https:\/\/gpa.uva.es\/?page_id=2078"},"modified":"2024-01-13T20:06:48","modified_gmt":"2024-01-13T20:06:48","slug":"linea-4","status":"publish","type":"page","link":"https:\/\/gpa.uva.es\/?page_id=2078","title":{"rendered":"4 | [:es]Detecci\u00f3n de peatones[:en]Pedestrian detection[:]"},"content":{"rendered":"\n
<\/div>\n\n\n\n

[:es]Detecci\u00f3n de peatones[:en]Pedestrian detection[:]<\/h3>\n\n\n\n

[:es]La detecci\u00f3n de peatones por un autom\u00f3vil suele realizarse mediante sistemas basados en c\u00e1maras, LIDAR o RADAR. Los dos primeros sistemas, basados en la propagaci\u00f3n de la luz, no funcionan en entornos con niebla o poca visibilidad, y los segundos son caros y la probabilidad asociada a su capacidad para detectar personas es baja. Es necesario desarrollar sistemas que no se basen en la propagaci\u00f3n de la luz, con un coste reducido y con una alta probabilidad de detecci\u00f3n de peatones. Con este objetivo se trabaja en el desarrollo de un sistema de sonido activo, con un sensor basado en un array 2D de micr\u00f3fonos MEMS, que permita detectar y estimar la posici\u00f3n de los peatones, asegurando que un veh\u00edculo que circule hasta a 50 km\/h (entornos urbanos) pueda detenerse y evitar una colisi\u00f3n.[:en]Pedestrian detection by a car is usually performed by camera-based systems, LIDAR or RADAR. The first two systems, based on light propagation, do not work in foggy or low visibility environments, and the latter are expensive and the probability associated with their ability to detect people is low. It is necessary to develop systems that are not based on light propagation, with reduced cost and high probability of pedestrian detection. With this objective in mind, we are working on the development of an active sound system, with a sensor based on a 2D array of MEMS microphones, which can detect and estimate the position of pedestrians, ensuring that a vehicle traveling at up to 50 km\/h (urban environments) can stop and avoid a collision.[:]<\/p>\n\n\n\n

<\/div>\n\n\n\n
\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n<\/div>\n\n\n\n
<\/div>\n\n\n\n
\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n<\/div>\n\n\n\n
<\/div>\n\n\n\n

[:es]Publicaciones relacionadas[:en]Related publications[:]<\/h4>\n\n\n

[table id=40 \/]
\n[table id=41 \/]<\/p>\n\n\n\n

<\/div>\n\n\n\n
\n
<\/div>\n\n\n\n
<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

[:es]Detecci\u00f3n de peatones[:en]Pedestrian detection[:] [:es]La detecci\u00f3n de peatones por un autom\u00f3vil suele realizarse mediante sistemas basados en c\u00e1maras, LIDAR o RADAR. Los dos primeros sistemas, basados en la propagaci\u00f3n de la luz, no funcionan en entornos con niebla o poca visibilidad, y los segundos son caros y la probabilidad asociada a su capacidad para detectar […]<\/p>\n","protected":false},"author":724,"featured_media":0,"parent":1957,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2078","page","type-page","status-publish","hentry","post"],"_links":{"self":[{"href":"https:\/\/gpa.uva.es\/index.php?rest_route=\/wp\/v2\/pages\/2078","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gpa.uva.es\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gpa.uva.es\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gpa.uva.es\/index.php?rest_route=\/wp\/v2\/users\/724"}],"replies":[{"embeddable":true,"href":"https:\/\/gpa.uva.es\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2078"}],"version-history":[{"count":0,"href":"https:\/\/gpa.uva.es\/index.php?rest_route=\/wp\/v2\/pages\/2078\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/gpa.uva.es\/index.php?rest_route=\/wp\/v2\/pages\/1957"}],"wp:attachment":[{"href":"https:\/\/gpa.uva.es\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2078"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}