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The document specifies project metadata including dissemination level (PU), lead contractor (University of Genova), and due/version dates, and it includes legal disclaimer terms and consortium funding context. A structured technical table of contents covers V2X communication test outcomes, high-precision positioning and localisation, V2X cybersecurity, and machine learning toolkits and perception methods, linking each area to measured results.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/outlook-of-future-enablers-kpis-for-adcad-version-1-draft/296813/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/outlook-of-future-enablers-kpis-for-adcad-version-1-draft/296813.png","ImageObject",300,407,{"name":92,"@type":93},"วิน","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-27","2026-09-18",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the purpose of this deliverable and what does it cover?","Question",{"text":112,"@type":113},"It outlines future-oriented enablers and key performance indicators for AD/CAD, with coverage across V2X communications, high-precision positioning and localisation, V2X cybersecurity, and machine learning test outcomes.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Who are the lead contractor and key project details included in the document?",{"text":117,"@type":113},"The lead contractor is the University of Genova, with dissemination level PU and due/version dates shown as 30.06.2025.",{"name":119,"@type":110,"acceptedAnswer":120},"What technical areas are organized under the main sections?",{"text":121,"@type":113},"Main sections include Tech Enablers Storyline; Vehicle Communication V2X test outcomes; Vehicle High-Precision Positioning and Localisation; Vehicle Communication Cybersecurity; and Vehicle Machine Learning toolkits and perception methods.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},296813,1789737312,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":39,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144,"preview_page_count":4},2336475104736,"https://ap-avatar.wpscdn.com/avatar/22000c4c5e0e5b17e70?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786591360781797222","Deliverable D2 . 3  \nOutlook of future enablers KPIs for AD/CAD  \nVersion: 1.0 Draft  \nDissemination level: PU  \nLead contractor: University of Genova (Italy)  \nDue date: 30.06.2025  \nVersion date: 30.06.2025  \nThis project has received funding from the  \nEuropean Union’s Horizon 2020 research and innovation programme under grant agreement No 101006664.  \nDocument information Authors  \nFrancesco Bellotti, UNIGE Riccardo Berta, UNIGE Francesco Guastavino, UNIGE Mario Marchesoni, UNIGE  \nLuisa Andreone, STELLANTIS-CRF Fabio Tango, STELLANTIS-CRF Filippo Visintainer, STELLANTIS-CRFPanagiotis Pantazopoulos, ICCS  \nMehrdad Dianati, WMG Konstantinos Koufos, WMG Manuel Schoberer, AUDIVahid Hashemi, AUDI Sabine Rieder, AUDI  \nAkshay Dhonthi, AUDI Ali Bin Wahid, AAIUdaysimha Nerella, BMW Felix Fahrenkrog, BMW Jonas Sjöberg, CHALMERS Henk Wymeersch, CHALMERS Erik Ström, CHALMERS Pavel Anistratov, CHALMERS Liqin Ding, CHALMERS  \nAndrás Wippelhauser, CMS  \nAndrás Váradi, CMS Iván Pérez Piñeiro, CTAG Markus Kremer, [FEV.io](FEV.io)  \nMarcus Kleinehagenbrock, HONDA Zinau Liu, HONDA  \nMichele Rondinone, HYUNDAI Dominik Matheis, HYUNDAI Gaëtan Merlhiot, VEDECOM Tobias Müller, BOSCH  \nRuben Perez Serrano, SEAT Alfonso Fernandez Sevilla, SEATOriol Mas Bosch, SEAT  \nManal Dakil, STELLANTIS AUTO  \nJean-Louis Sauvaget, STELLANTIS AUTO Thibault Griffon, STELLANTIS AUTO Mahdi Rezaei, LEEDS  \nMohsen Azarmi, LEEDS Onoriu Puscasu, VALEO VISION Ashok Krishna, VCC  \nWen Xu, VTEC  \nCoordinator  \nAria Etemad  \nVolkswagen AG  \nBerliner Ring 2, 38440 Wolfsburg Germany  \nPhone: +49-5361-9-13654  \nEmail: [aria.etemad@volkswagen.de](aria.etemad@volkswagen.de)  \nProject funding  \nHorizon 2020 DT-ART-06-2020 – Large-scale, cross-border demonstration of connected and highly automated driving functions for passenger cars Contract number 101006664  \n[www.Hi-Drive.eu](www.Hi-Drive.eu)  \nLegal Disclaimer  \nThe information in this document is provided “as is”, and no guarantee or warranty is given that the information is fit for any particular purpose. The consortium members shall have no liability for damages of any kind including, without limitation, direct, special, indirect, or consequential damages that may result from the use of these materials, subject to any liability which is mandatory due to applicable law. Although efforts have been coordinated, results do not necessarily reflect the opinion of all members of the Hi-Drive consortium.  \n© 2025 by Hi-Drive Consortium  \nTable of contents  \nExecutive Summary 14  \n1 Introduction 16  \n1.1 Ηi-Drive – Addressing challenges toward the deployment of higher automation 16  \n1.2 Objectives and Structure of the Deliverable 17  \n2 Tech Enablers Storyline 18  \n3 Vehicle Communication V2X Tech Enablers Test Outcomes 25  \n3.1 Vehicle-to-Vehicle Communications 25  \n3.1.1 V2V for Cooperative Highway Manoeuvring (Merging) Implementation 1 26  \n3.1.2 V2V for Cooperative Highway Manoeuvring (Merging) Implementation 2 30  \n3.1.3 V2V for Cooperative Highway Manoeuvring (Merging) Implementation 3 31  \n3.1.4 V2V for Automated Overtaking 32  \n3.1.5 V2V for Cooperative Merging 36  \n3.1.6 V2V for Cooperative Sensing 39  \n3.2 Vehicle-to-Infrastructure and Infrastructure-to-Vehicle Communications 41  \n3.2.1 I2V/N2V Green Light Optimised Speed Advisory (GLOSA) 42  \n3.2.2 V2X for Highway Junctions 45  \n3.2.3 I2V for Hazard Warnings 48  \n3.2.4 V2I Hazard Warning and Dynamic Signage at Junctions 51  \n3.2.5 I2V for Road Hazard Notification and Dynamic Signage 55  \n3.2.6 Green Light Optimised Speed Advisory (GLOSA) 58  \n3.3 Vehicle-to-Cloud (Edge and Core) Communications 61  \n3.3.1 V2N for Cooperative Sensing 61  \n3.3.2 V2N for Cooperative Sensing/Perception 65  \n3.3.3 N2V for Road Hazard Notification and Dynamic Signage 68  \n3.3.4 Predictive Cellular Network QoS and Cloud-Based Notification Service 71  \n3.3.5 V2N for Vehicle In Use Monitoring 74  \n3.4 Vehicle-Intention Communications 76  \n3.4.1 Vehicle's intention communication – onboard displa","cbCaic7eb7AUxGOF","https://ap.wps.com/l/cbCaic7eb7AUxGOF","pdf",5330303,240,"English","# Executive Summary\n## 1 Introduction\n### 1.1 Ηi-Drive – Addressing challenges toward the deployment of higher automation\n### 1.2 Objectives and Structure of the Deliverable\n## 2 Tech Enablers Storyline\n## 3 Vehicle Communication V2X Tech Enablers Test Outcomes\n## 4 Vehicle High-Precision Positioning and Localisation Tech Enablers Test Outcomes\n## 5 Vehicle Communication Cybersecurity Tech Enablers Test Outcomes\n## 6 Vehicle Machine Learning Tech Enablers Test Outcomes","[{\"question\":\"What is the purpose of this deliverable and what does it cover?\",\"answer\":\"It outlines future-oriented enablers and key performance indicators for AD/CAD, with coverage across V2X communications, high-precision positioning and localisation, V2X cybersecurity, and machine learning test outcomes.\"},{\"question\":\"Who are the lead contractor and key project details included in the document?\",\"answer\":\"The lead contractor is the University of Genova, with dissemination level PU and due/version dates shown as 30.06.2025.\"},{\"question\":\"What technical areas are organized under the main sections?\",\"answer\":\"Main sections include Tech Enablers Storyline; Vehicle Communication V2X test outcomes; Vehicle High-Precision Positioning and Localisation; Vehicle Communication Cybersecurity; and Vehicle Machine Learning toolkits and perception methods.\"}]","Outlook of future enablers KPIs for AD/CAD - Version 1 - Draft | PDF",605]