{"id":5119,"date":"2025-08-04T08:37:15","date_gmt":"2025-08-04T06:37:15","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/projects\/hidden\/"},"modified":"2025-10-15T11:06:48","modified_gmt":"2025-10-15T09:06:48","slug":"hidden","status":"publish","type":"proyecto","link":"https:\/\/www.mosaicfactor.com\/ca\/projects\/hidden\/","title":{"rendered":"HIDDEN"},"content":{"rendered":"

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Intel\u00b7lig\u00e8ncia h\u00edbrida per a la percepci\u00f3 col\u00b7lectiva avan\u00e7ada i la presa de decisions en entorns urbans complexos<\/p>\n

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Client<\/h2>\n

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Partners<\/h2>\n

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El problema<\/h2>\n

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La mobilitat urbana presenta una s\u00e8rie de reptes per als sistemes de Mobilitat Connectada, Cooperativa i Automatitzada (CCAM). Un dels m\u00e9s cr\u00edtics \u00e9s la detecci\u00f3 oportuna i fiable d\u2019objectes ocults, especialment dels usuaris vulnerables de la via (VRUs)<\/strong>.<\/p>\n

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La soluci\u00f3<\/h2>\n

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Per afrontar aquest repte, el projecte HIDDEN est\u00e0 pionerant en el desenvolupament d\u2019algoritmes avan\u00e7ats de consci\u00e8ncia col\u00b7lectiva (CA)<\/strong> i de presa de decisions<\/strong>, dissenyats per funcionar tant amb suport de la infraestructura vi\u00e0ria com sense. El sistema de CA se centra espec\u00edficament en la detecci\u00f3 d\u2019objectes ocults, incloent-hi els VRUs, i en la predicci\u00f3 de les seves traject\u00f2ries a curt termini mitjan\u00e7ant models de comportament sofisticats.<\/p>\n

A Mosaic Factor, liderarem el desenvolupament d\u2019eines innovadores que permetin als sistemes aut\u00f2noms veure m\u00e9s enll\u00e0 dels obstacles, detectar usuaris ocults de la via i prendre decisions m\u00e9s \u00e8tiques i centrades en les persones.<\/p>\n

El nostre kit d\u2019eines d\u2019aprenentatge per refor\u00e7 amb retroalimentaci\u00f3 humana<\/strong> fomentar\u00e0 la transpar\u00e8ncia, la confian\u00e7a i millorar\u00e0 la seguretat a les ciutats de tota Europa.<\/p>\n

Paral\u00b7lelament, HIDDEN est\u00e0 desenvolupant un innovador sistema de seguiment de la mirada del conductor i de monitoratge del seu estat. Les dades generades tant pel m\u00f2dul de CA com pel sistema de seguiment de la mirada s\u2019integren en algoritmes de presa de decisions en temps real que s\u00f3n explicables, \u00e8ticament s\u00f2lids i estretament alineats amb els comportaments humans al volant.<\/p>\n

HIDDEN aplica la Intel\u00b7lig\u00e8ncia H\u00edbrida a tota la cadena de percepci\u00f3 i decisi\u00f3, aprofitant la combinaci\u00f3 dels punts forts de la intel\u00b7lig\u00e8ncia humana i la de m\u00e0quina. Les consideracions \u00e8tiques i legals relacionades amb la IA s\u2019integren curosament en el proc\u00e9s mitjan\u00e7ant la creaci\u00f3 d\u2019un marc espec\u00edfic.<\/p>\n

Els desenvolupaments del projecte seran sotmesos a avaluacions tant en entorns reals com simulats. Les proves de camp es duran a terme amb els vuit vehicles aut\u00f2noms del consorci, desplegats en diverses instal\u00b7lacions de prova i vies p\u00fabliques. Per a la validaci\u00f3 virtual, s\u2019introduiran nous entorns de co-simulaci\u00f3.<\/p>\n

S\u2019han preseleccionat quatre casos d\u2019\u00fas principals per orientar la direcci\u00f3 t\u00e8cnica del projecte. A trav\u00e9s d\u2019aquests esfor\u00e7os, HIDDEN aspira a crear sistemes CCAM no nom\u00e9s tecnol\u00f2gicament avan\u00e7ats, sin\u00f3 tamb\u00e9 profundament arrelats en principis \u00e8tics, en un disseny centrat en les persones i en el compliment normatiu, establint un nou est\u00e0ndard per a la tecnologia dels vehicles aut\u00f2noms<\/strong>.<\/p>\n

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Dades<\/h2>\n

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HIDDEN desenvolupa un marc d\u2019intel\u00b7lig\u00e8ncia h\u00edbrida que combina dades de les comunicacions Vehicle-to-Everything (V2X), sensors d\u2019infraestructura, altres vehicles i el seguiment de la mirada del conductor per construir una consci\u00e8ncia col\u00b7lectiva avan\u00e7ada. El sistema detecta objectes i VRUs ocults, en prediu les traject\u00f2ries a curt termini mitjan\u00e7ant models de comportament i transmet aquesta informaci\u00f3 a algoritmes de presa de decisions en temps real que s\u00f3n explicables i alineats amb els estils de conducci\u00f3 humans i els principis \u00e8tics.<\/p>\n

    \n
  • Dades de sensors i percepci\u00f3 de vehicles connectats i automatitzats (incloent-hi c\u00e0meres, lidar, radar i comunicacions V2X).<\/li>\n
  • Dades d\u2019infraestructura vi\u00e0ria i d\u2019usuaris vulnerables compartides mitjan\u00e7ant V2X.<\/li>\n
  • Dades de seguiment de la mirada i de monitoratge de l\u2019estat del conductor utilitzades per modelar el comportament hum\u00e0.<\/li>\n
  • Models de comportament i dades de simulaci\u00f3 d\u2019entorns de co-simulaci\u00f3 per a la predicci\u00f3 de traject\u00f2ries i la presa de decisions.<\/li>\n<\/ul>\n

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    Resultats<\/h2>\n

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    HIDDEN va comen\u00e7ar l\u20191 de juliol de 2025 i tindr\u00e0 una durada de 36 mesos. Els resultats es presentaran durant el desenvolupament del projecte.<\/p>\n

    Per amplificar-ne l\u2019impacte, el consorci mant\u00e9 una col\u00b7laboraci\u00f3 activa amb els agents del sector CCAM arreu d\u2019Europa i m\u00e9s enll\u00e0, mantenint un di\u00e0leg continu amb les autoritats europees d\u2019homologaci\u00f3 i els grups de treball de l\u2019UNECE, i promovent solucions madures per a l\u2019estandarditzaci\u00f3.<\/p>\n

    Els resultats esperats inclouen:<\/p>\n

      \n
    • una millor capacitat per detectar VRUs i objectes ocults,<\/li>\n
    • una presa de decisions alineada amb principis \u00e8tics que millori la seguretat i la confian\u00e7a,<\/li>\n
    • i demostracions de prova de concepte en quatre escenaris urbans complexos.<\/li>\n<\/ul>\n

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