[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-295979-105":59,"doc-detail-295979-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","p1-021-map-creation-monitoring-and-maintenance-for-automated-driving-literature-review","P1-021: Map creation, monitoring and maintenance for automated driving - Literature Review","","Automated vehicles are a rapidly developing technology designed to remove driving tasks from human control, yet reliable full autonomy remains difficult across heavy traffic and harsh weather while safely detecting and interacting with vulnerable road users. A key challenge can be reduced by equipping AVs with prior high definition (HD) maps that store precise road-level features, improve sensor verification, and help “fill in gaps” when perception is degraded. This literature review, funded through iMOVE Australia, TMR, RACQ and QUT, examines government roles in creating, monitoring and maintaining these maps for ongoing safe operation.",{"@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/p1-021-map-creation-monitoring-and-maintenance-for-automated-driving-literature-review/295979/",{"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/p1-021-map-creation-monitoring-and-maintenance-for-automated-driving-literature-review/295979.png","ImageObject",300,407,{"name":92,"@type":93},"Violet","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-04","2026-09-18",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why are prior HD maps important for automated vehicles?","Question",{"text":112,"@type":113},"Prior HD maps encode road-level features with centimetre-level accuracy, enabling vehicles to verify sensor data and compensate for limited perception under conditions like rain or occlusions.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What challenges does the report identify for achieving full autonomy?",{"text":117,"@type":113},"It highlights difficulties in developing reliable autonomous driving for complex environments such as heavy traffic and snow/rain, along with robust detection and interaction with pedestrians and cyclists.",{"name":119,"@type":110,"acceptedAnswer":120},"What is the project’s objective and who is involved?",{"text":121,"@type":113},"The project conducts a comprehensive literature review on the use of prior maps in automated vehicles, with a focus on the potential government role, carried out as a partnership between iMOVE, TMR, RACQ and QUT.","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},295979,1790793082,{"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":34,"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":144,"read_time":145,"preview_page_count":4},4398048950312,"https://ap-avatar.wpscdn.com/avatar/400002538284de19e3c?_k=1778320343897328908","image: [123rf.com / chombosan](123rf.com / chombosan)  \nPublished  \nJanuary 2021  \nP1-021: Map creation, monitoring and maintenance for automated driving  \n– Literature Review  \nThis research is funded by the Department of Transport and Main Roads, RACQ, Queensland University of Technology and iMOVE CRC and supported by the Cooperative Research Centres program, an Australian Government initiative.  \nReport prepared by Stephen Hausler and Michael Milford, 11 December, 2020  \nStudy Partners  \nP1‐021: Map creation, monitoring and maintenance for automated driving – Literature Review  \nCover image credit: [123rf.com / chombosan](123rf.com / chombosan)  \n1 Abstract  \nAutomated vehicles (AVs) are an emerging new technology which promises to remove some, or all, driving tasks from human control. In recent years technological advances have made automated vehicles increasingly viable, with low levels of automation already in market‐ready vehicles. Transitioning from semi‐autonomous to fully‐autonomous widespread operation is the current problem facing most key AV developers. Challenges include developing reliable autonomous driving solutions for operation in conditions such as heavy traffic, snow, rain, and that reliably detect and interact with vulnerable road users like pedestrians and cyclists. As of writing, only a small number of automated vehicle developers are running trials without any safety driver in the car, and still rely on remote supervision in these cases or a vigilant backup driver in the case of Teslas.  \nSome of the aforementioned difficulties can be alleviated by providing automated vehicles with a prior high definition (HD) map. Prior maps encode road‐level features such as the position of street signs and lane markings, with up‐to centimetre accuracy. This allows for the vehicle to verify the data received by its sensors against the prior map, and to even“fill in the gaps” where the incoming sensor data is limited due to difficulties such as rain or occlusions. Such findings were confirmed by a prior iMOVE Australia, TMR and QUT project titled P1‐007: How Automated Vehicles Will Interact with Road Infrastructure Now and in the Future.1  \nThe objective of this project, a partnership between iMOVE, TMR, RACQ and QUT, is to conduct a comprehensive literature review into the use of prior maps in automated vehicles, with a particular focus on the potential role for government in developing, monitoring and maintaining these maps. Reliably maintaining these prior maps in a manner that is sufficiently responsive to enable the ongoing and safe operation of AVs is a challenge that will likely require some form of collaboration between car manufacturers, map makers and Governments, with agreements concerning geospatial data storage and sharing critical to the future success of automated vehicles.  \nIn this report, we discuss the key issues concerning the use of prior maps for automated vehicles. The report contains a detailed review of the technology behind high definition (HD) prior maps for automated vehicles, along with many discussion points based on our literature search, encompassing data from both private companies and overseas Governments. The discussion considers what overseas Governments have done to assist the development and deployment of HD prior maps, what data needs to be shared between Government and private enterprises, and a set of recommendations that would potentially suit the Australian context, considering a range of adoption and partnership strategies going forwards. We hope that this report aids in the development of future projects and policies in Queensland that help facilitate the introduction of sustainably deployable automated vehicles.  \n1: [https://imoveaustralia.com/news‐articles/intelligent‐transport‐systems/autonomous‐vehicles‐australian‐roads/](https://imoveaustralia.com/news‐articles/intelligent‐transport‐systems/autonomous‐vehicles‐australian‐roads/)  \n1 iMOVE, TMR, QUT and RACQ  \nP1‐021: ","cbCaiuHVXDZSEShQ","https://ap.wps.com/l/cbCaiuHVXDZSEShQ","pdf",11732177,104,"English","# Abstract\n# Table of Figures\n# Glossary of Terminology and Abbreviations\n# Introduction\n# Methodology\n# Overview of Mapping\n## Technology – Usages of Maps in Automated Vehicles\n## Technology – Types of Maps\n## Localization\n## Technology – Map Creation","[{\"question\":\"Why are prior HD maps important for automated vehicles?\",\"answer\":\"Prior HD maps encode road-level features with centimetre-level accuracy, enabling vehicles to verify sensor data and compensate for limited perception under conditions like rain or occlusions.\"},{\"question\":\"What challenges does the report identify for achieving full autonomy?\",\"answer\":\"It highlights difficulties in developing reliable autonomous driving for complex environments such as heavy traffic and snow/rain, along with robust detection and interaction with pedestrians and cyclists.\"},{\"question\":\"What is the project’s objective and who is involved?\",\"answer\":\"The project conducts a comprehensive literature review on the use of prior maps in automated vehicles, with a focus on the potential government role, carried out as a partnership between iMOVE, TMR, RACQ and QUT.\"}]","P1-021: Map creation, monitoring and maintenance for automated driving - Literature Review | PDF",1789726551,262]