{"id":20821,"date":"2026-04-21T12:40:17","date_gmt":"2026-04-21T10:40:17","guid":{"rendered":"https:\/\/i2cat.net\/?page_id=20821"},"modified":"2026-04-21T13:38:59","modified_gmt":"2026-04-21T11:38:59","slug":"6gcamlab","status":"publish","type":"page","link":"https:\/\/i2cat.net\/ca\/unico\/6gcamlab\/","title":{"rendered":"6GCAMLab"},"content":{"rendered":"\n
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infraestructures de recerca<\/div>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t

6GCAMLab<\/h1>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

R+D en Mobilitat Connectada i Automatitzada, aprofitant V2X, posicionament avan\u00e7at i tecnologia de visi\u00f3 per computador\n<\/p>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t

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Con\u00e8ix m\u00e9s a UNICO I+D 6G<\/div>\n
Ves-hi \n\n\n<\/g>\n<\/svg>\n <\/div>\n<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t
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\n\t\t\t\t\t\t\t\t6GCAMLab s’emmarca en el context de transformaci\u00f3 global de la ind\u00fastria de l’automoci\u00f3 cap a un model de mobilitat cooperativa, connectada i aut\u00f2noma (CCAM).\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t
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El seu objectiu \u00e9s millorar la seguretat vi\u00e0ria i reduir l’impacte mediambiental mitjan\u00e7ant l’\u00fas de xarxes m\u00f2bils avan\u00e7ades i sensors intel\u00b7ligents. El laboratori integra solucions V2X, sistemes de percepci\u00f3 de l’entorn i eines d’IA per a la predicci\u00f3 de mobilitat, consolidant-se com un entorn clau per validar la mobilitat del futur.<\/p>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n\t\t\n\t<\/div>\n<\/section>\n\n\n

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Equipament destacat <\/h3>\n \n \n\n<\/svg>\n <\/span>\n <\/div>\n
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  • Equipament de mesura i instrumentaci\u00f3 per a experimentaci\u00f3 V2X, incloent laboratori exterior prefabricat i instrumentaci\u00f3 indoor per a assajos C-V2X i ITS-G5 en condicions controlades.<\/li>\n\n\n\n
  • Eines de desenvolupament de maquinari, com sondes de programaci\u00f3 i depuraci\u00f3, impressores 3D FDM i de resina, i sistemes de fabricaci\u00f3 r\u00e0pida.<\/li>\n\n\n\n
  • Instrumentaci\u00f3 electr\u00f2nica i de laboratori: mult\u00edmetres, oscil\u00b7loscopis, analitzadors d’espectre, microscopis i estacions de soldadura.<\/li>\n\n\n\n
  • Xarxa privada 5G per a la validaci\u00f3 de comunicacions avan\u00e7ades en entorns experimentals.<\/li>\n\n\n\n
  • Vehicles aut\u00f2noms i connectats per al desenvolupament i validaci\u00f3 de solucions de mobilitat intel\u00b7ligent.<\/li>\n\n\n\n
  • Plataforma rob\u00f2tica aut\u00f2noma basada en ROS per a aplicacions de transport log\u00edstic automatitzat.<\/li>\n\n\n\n
  • Solucions tecnol\u00f2giques orientades a usuaris vulnerables en entorns de mobilitat connectada.<\/li>\n\n\n\n
  • Plataformes de computaci\u00f3 i comunicaci\u00f3 avan\u00e7ada, incloent xips d’automoci\u00f3 amb capacitats d’intel\u00b7lig\u00e8ncia artificial, m\u00f2duls 5G, SoM, plaques SBC i dispositius IoT.<\/li>\n\n\n\n
  • Equips de xarxa i de computaci\u00f3, com nodes d’edge computing, switches PoE i servidors amb GPU per a processament intensiu de dades.<\/li>\n\n\n\n
  • Sala de control de teleoperaci\u00f3 per a la supervisi\u00f3, el control remot i la gesti\u00f3 de vehicles en temps real.<\/li>\n\n\n\n
  • Elements de l’ecosistema V2X, com unitats RSU i OBU per a la comunicaci\u00f3 entre vehicles, infraestructura i usuaris de la via.<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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    • Infraestructura de posicionament avan\u00e7at basada en tecnologies GNSS-RTK, que inclou estacions base, receptors i sistemes de transmissi\u00f3 de correccions.<\/li>\n\n\n\n
    • Tecnologies complement\u00e0ries de localitzaci\u00f3, com els sistemes inercials i UWB.<\/li>\n\n\n\n
    • Infraestructura de visi\u00f3 per computador, incloent sensors LiDAR i c\u00e0meres RGB, est\u00e8reo i t\u00e8rmiques per a la percepci\u00f3 multimodal.<\/li>\n\n\n\n
    • Patrons de calibratge per a l’ajust i la validaci\u00f3 de sistemes de visi\u00f3 artificial.<\/li>\n\n\n\n
    • Sensors ambientals, inclosos sensors de pres\u00e8ncia, de soroll i de qualitat de l’aire, aix\u00ed com sensors ultras\u00f2nics, infrarojos i LiDAR.<\/li>\n\n\n\n
    • Capacitats de computaci\u00f3 avan\u00e7ada, incloent servidors en rack, unitats d’intel\u00b7lig\u00e8ncia artificial embebuda, equips amb GPU i servidors edge compactes.<\/li>\n\n\n\n
    • Equipament auxiliar, com c\u00e0meres PTZ, tr\u00edpodes, sistemes d’escaneig 3D i c\u00e0meres immersives 360\u00ba per a aplicacions de realitat virtual.<\/li>\n\n\n\n
    • Infraestructura de ciberseguretat basada en servidors edge i cloud amb entorns d’execuci\u00f3 confiables (TEE) i m\u00f2duls de seguretat (TPM).<\/li>\n\n\n\n
    • Dispositius i servidors anti-hacking per a la protecci\u00f3 de sistemes embarcats i infraestructures V2X.<\/li>\n\n\n\n
    • Xarxa privada 5G segura, incloent small cells i core, juntament amb dispositius client per a la validaci\u00f3 de comunicacions protegides.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n
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      Tecnologies implicades <\/h3>\n \n \n\n<\/svg>\n <\/span>\n <\/div>\n
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      • Mobilitat Aut\u00f2noma i Connectada mitjan\u00e7ant V2X i xarxes 5G\/6G.<\/li>\n\n\n\n
      • Edge Computing i Intel\u00b7lig\u00e8ncia Artificial per a processament intensiu de dades.<\/li>\n\n\n\n
      • Sistemes embebits, plataformes SBC i arquitectures per a connectivitat en temps real.<\/li>\n\n\n\n
      • Percepci\u00f3 avan\u00e7ada i visi\u00f3 artificial (LiDAR, c\u00e0meres t\u00e8rmiques i escaneig 3D).<\/li>\n\n\n\n
      • Posicionament d’alta precisi\u00f3 i navegaci\u00f3 inercial (INS\/UWB).<\/li>\n\n\n\n
      • Ciberseguretat en sistemes distribu\u00efts i protecci\u00f3 d’infraestructures cr\u00edtiques.<\/li>\n<\/ul>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n
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        Casos d’\u00fas <\/h3>\n \n \n\n<\/svg>\n <\/span>\n <\/div>\n
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        • Seguretat avan\u00e7ada per a usuaris vulnerables:<\/strong> Aquest cas d’\u00fas se centra a protegir peatons i ciclistes en escenaris de tr\u00e0nsit complexos, tant amb vehicles connectats com no connectats. Els usuaris vulnerables transmeten la seva posici\u00f3 en temps real mitjan\u00e7ant tecnologies V2X i sistemes de posicionament d’alta precisi\u00f3. S’empren sensors avan\u00e7ats i equips energ\u00e8ticament eficients per garantir que la seva ubicaci\u00f3 sigui detectada correctament. L’objectiu \u00e9s reduir els riscos en cru\u00eflles, passos de peatons i carrils bici, fins i tot quan la visibilitat \u00e9s limitada.<\/li>\n\n\n\n
        • Conducci\u00f3 cooperativa:<\/strong> Aquest cas d’\u00fas explora la coordinaci\u00f3 entre vehicles aut\u00f2noms connectats en escenaris de tr\u00e0nsit complexos, com interseccions, incorporacions a carrils i avan\u00e7aments. Els vehicles intercanvien informaci\u00f3 sobre traject\u00f2ries previstes i posicions mitjan\u00e7ant xarxes V2X i sistemes de computaci\u00f3 en l’edge. La informaci\u00f3 compartida permet ajustar velocitats, prioritats i maniobres de manera cooperativa per optimitzar el flux de tr\u00e0nsit. S’utilitzen m\u00faltiples tecnologies de percepci\u00f3, comunicaci\u00f3 i posicionament d’alta precisi\u00f3 per habilitar la coordinaci\u00f3 en temps real.<\/li>\n\n\n\n
        • Teleoperaci\u00f3 de vehicles aut\u00f2noms:<\/strong> Aquest cas d’\u00fas se centra en la conducci\u00f3 teleoperada, en la qual un vehicle aut\u00f2nom rep assist\u00e8ncia remota davant situacions que no pot gestionar per si mateix. Un operador en una sala de control realitza maniobres de control indirecte o directe durant el temps o la dist\u00e0ncia necessaris. S’avalua l’acompliment del servei i la qualitat de l’operaci\u00f3 remota mitjan\u00e7ant la recopilaci\u00f3 d’indicadors clau. L’escenari abasta des d’entorns confinats fins a les vies p\u00fabliques i la mobilitat transfronterera.<\/li>\n<\/ul>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n
          <\/div>\n\n\n\n
          \"\"<\/figure>\n\n\n\n

          <\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":0,"parent":18918,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-20821","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\n6GCAMLab - i2CAT Research Centre<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/i2cat.net\/ca\/unico\/6gcamlab\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"6GCAMLab - i2CAT Research Centre\" \/>\n<meta property=\"og:url\" content=\"https:\/\/i2cat.net\/ca\/unico\/6gcamlab\/\" \/>\n<meta property=\"og:site_name\" content=\"i2CAT Research Centre\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-21T11:38:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/i2cat.net\/wp-content\/uploads\/2025\/07\/UNICO-NG-MTDFP-PR-e1764593386662.png\" \/>\n\t<meta property=\"og:image:width\" content=\"762\" \/>\n\t<meta property=\"og:image:height\" content=\"48\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/i2cat.net\/ca\/unico\/6gcamlab\/\",\"url\":\"https:\/\/i2cat.net\/ca\/unico\/6gcamlab\/\",\"name\":\"6GCAMLab - 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