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BuiltView enables remote, near-real-time progress monitoring and quality control to prevent defects and speed error detection by replacing costly human visual inspections. It targets limitations of existing tools that cannot robustly handle massive, unstructured LiDAR point clouds. BuiltView automates progressive assurance, identifies BIM components, detects as-designed versus as-built discrepancies, and processes billions of points to produce comprehensive reports for QA/QC, tracking, and documentation.",{"@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/builtview-integrating-lidar-and-bim-for-real-time-quality/650777/",{"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/builtview-integrating-lidar-and-bim-for-real-time-quality/650777.png","ImageObject",300,407,{"name":92,"@type":93},"SALUTone","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-28","2026-10-24",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does BuiltView address in construction projects?","Question",{"text":112,"@type":113},"BuiltView targets rising rework caused by quality deviations from design and the limitations of manual visual inspections for detecting defects early.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does BuiltView connect LiDAR data with construction models?",{"text":117,"@type":113},"BuiltView integrates LiDAR point clouds with BIM by matching and analyzing as-designed versus as-built conditions to support deviation analysis and progress checking.",{"name":119,"@type":110,"acceptedAnswer":120},"What capabilities enable BuiltView to detect discrepancies efficiently?",{"text":121,"@type":113},"BuiltView processes billions of LiDAR points and uses analytical algorithms to identify BIM components and detect geometric non-compliance between the as-designed and as-built data.","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},650777,1792900627,{"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":81,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":34,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144},5909897206756,"https://ap-avatar.wpscdn.com/avatar/5600152dbe4a7e99502?x-image-process=image/resize,m_fixed,w_180,h_180&k=1792654152478566863","37th International Symposium on Automation and Robotics in Construction (ISARC 2020)  \nBuiltView: Integrating LiDAR and BIM for Real-Time Quality  \nControl of Construction Projects  \nR. Abbasa, F.A. Westlinga, C. Skinnera, M. Hanus-Smitha, A. Harrisa and N. Kirchnerb  \na Engineering Excellence Group, Laing O’Rourke, Australia  \nb Presien, Australia  \nEmail: {rabbas, fwestling, cskinner,mhanussmith,[atharris}@laingorourke.com.au](atharris}@laingorourke.com.au), [nathan@presien.com](nathan@presien.com)  \nAbstract  \nGlobal spending on rework in the trillion dollar construction industry is estimated at $570bn of direct costs and $440bn of indirect costs. The cost of rework is on the rise, and the main cause is rooted in quality deviations from construction design. Real-time or even near real-time remote progress monitoring and quality control has the potential to prevent a large portion of defects and enables quick detection and handling of errors that often go undetected for too long. Current procedure still relies on human visual inspections that are costly, in terms of time and human resources, and is subject to human error. Moreover, existing tools and services are limited in the size of data they can handle, as LiDAR data can be gigabits in size with hundreds of millions of unstructured points. The technology often fails at being robust to occlusions and other noise elements commonly found on construction sites. More sophisticated algorithms exist to perform different parts of the required analysis; however, they require a high level of expertise to implement and tailor to different use cases. In this paper, we present BuiltView, an automated progressive assurance platform that allows users to validate and document construction activities on a daily basis. BuiltView can significantly r educe r ework by accurately and efficiently identifying BIM components and detecting discrepancies between the as-designed data and the as-built data, particularly in terms of geometric compliance. BuiltView is a powerful tool that processes billions of LiDAR points in a very efficient manner. Leveraging sophisticated analytical algorithms, BuiltView calculates accurate dimensions and generates comprehensive user-friendly reports to facilitate communication across the business. We show that BuiltView is a valuable tool for automation of quality assurance and quality control, progress tracking and documentation. Using the tool, builders can significantly reduce costly rework, increase productivity and boost transparency between different project stakeholders, thanks to objective, high-accuracy evidence.  \nKeywords  \nLiDAR; BIM; point cloud; progressive assurance; QA/QC; rework; as-built models; project management  \n1 Introduction  \nAccording to McKinsey and Co, most construction projects are expected to run 20% over schedule, and 80% over budget with 25% of profit lost on defects and rework [1] . Moreover, the overall productivity of the construction industry has increased by a mere 1% over the past two decades [2] . The depressed productivity of construction projects is costing the global economy $1.6 trillion each year [3] . For major contractors in the industry, documenting and maintaining a single source of truth is essential for accountability, quality and efficiency of the work. Foreffective management of construction projects, this data needs to be timely (up to date), detailed and accurate. Autodesk identified frequent information capture of errors, omissions, and defects as the number one key performance indicator (KPI) for construction contractors [4] .  \nBuilding information modelling (BIM) is widely used in the construction industry to enhance project performance from design to construction and facilities management (FM) . Complimenting BIM, point cloud data obtained from LiDAR (Light Detection and Ranging), images, and videos are able to provide accurate and fast records of the 3D geometries of construction-related objects. Point clouds are a set","cbCaia2hpm9eULpA","https://ap.wps.com/l/cbCaia2hpm9eULpA","pdf",1971883,"English","# Abstract\n# Keywords\n# 1 Introduction","[{\"question\":\"What problem does BuiltView address in construction projects?\",\"answer\":\"BuiltView targets rising rework caused by quality deviations from design and the limitations of manual visual inspections for detecting defects early.\"},{\"question\":\"How does BuiltView connect LiDAR data with construction models?\",\"answer\":\"BuiltView integrates LiDAR point clouds with BIM by matching and analyzing as-designed versus as-built conditions to support deviation analysis and progress checking.\"},{\"question\":\"What capabilities enable BuiltView to detect discrepancies efficiently?\",\"answer\":\"BuiltView processes billions of LiDAR points and uses analytical algorithms to identify BIM components and detect geometric non-compliance between the as-designed and as-built data.\"}]","BuiltView - Integrating LiDAR and BIM for Real-Time Quality | PDF",1792844187,18]