{"id":10972,"date":"2026-03-09T14:00:30","date_gmt":"2026-03-09T14:00:30","guid":{"rendered":"https:\/\/www.oxts.com\/?p=10972"},"modified":"2026-04-09T15:49:53","modified_gmt":"2026-04-09T15:49:53","slug":"mobile-mapping-in-infrastructure-and-construction","status":"publish","type":"post","link":"https:\/\/www.oxts.com\/zh\/mobile-mapping-in-infrastructure-and-construction\/","title":{"rendered":"\u79fb\u52a8\u5236\u56fe\u5728\u57fa\u7840\u8bbe\u65bd\u548c\u5efa\u7b51\u4e1a\u4e2d\u7684\u4f5c\u7528"},"content":{"rendered":"\n<div class=\"conttitletext mwb-block py-4 lg:py-8\">\n        <div class=\"container md:grid md:grid-cols-12\">\n        <div class=\"col-span-6 col-start-5\">\n    \n           \n    \n            \n\n\n    \n\n\n            \n\n\n    \n\n    <h5 class=\"h5 mb-6\">Mobile mapping systems have become an increasingly common part of infrastructure and construction projects. The systems save time and money, while improving workflows and maintaining accuracy.<\/h5>\n\n\n        <div class=\"wysiwyg p\">\n            <p><span class=\"TextRun SCXW194035733 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW194035733 BCX0\">In this blog,\u00a0<\/span><span class=\"NormalTextRun SCXW194035733 BCX0\">we\u2019ll<\/span><span class=\"NormalTextRun SCXW194035733 BCX0\"> give you a primer on how mobile mapping in<\/span><span class=\"NormalTextRun SCXW194035733 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW194035733 BCX0\">infrastructure and construction is enabling faster and more efficient project delivery<\/span><span class=\"NormalTextRun SCXW194035733 BCX0\">.\u00a0<\/span><span class=\"NormalTextRun SCXW194035733 BCX0\">We\u2019ll<\/span><span class=\"NormalTextRun SCXW194035733 BCX0\">\u00a0cover how mobile mapping works, its role in construction,\u00a0<\/span><span class=\"NormalTextRun SCXW194035733 BCX0\">the\u00a0<\/span><span class=\"NormalTextRun SCXW194035733 BCX0\">benefits<\/span><span class=\"NormalTextRun SCXW194035733 BCX0\"> and challenges, plus some real-world applications and case studies.<\/span><\/span><\/p>\n<h4 aria-level=\"2\"><span style=\"color: #c11722;\">Why mobile mapping is gaining momentum: The shift to digital-first infrastructure<\/span><\/h4>\n<p><span data-contrast=\"auto\">The rise of mobile mapping is due to a confluence of factors. A major factor is that clients expect higher standards and faster delivery than ever before. Thankfully, mapping hardware is getting more sophisticated and less expensive, while software is getting faster and more advanced, enabling construction and infrastructure firms to meet those client demands.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The result is that the construction and infrastructure industries are becoming increasingly, and in some cases predominantly, a digital sector. Engineers use surveys, IoT sensors and Building Information Modelling (BIM) for planning, safety monitoring, performance simulation, and project optimisation. They build real-time digital twins of physical structures. After construction, they use sensors to monitor everything from light bulbs and temperature to air quality and parking patterns to enable predictive maintenance schedules.<\/span><\/p>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n            \n<div class=\"contformembed mwb-block bg-light text-dark py-12 md:py-16\">\n    <div class=\"container grid md:grid-cols-3 gap-6 md:gap-6\">\n        <div class=\"col-span-1\">\n            \n                    <\/div>\n        \n        <div class=\"col-span-3\">\n            <div class=\"form-embed-container\">\n                <script charset=\"utf-8\" type=\"text\/javascript\" src=\"\/\/js.hsforms.net\/forms\/embed\/v2.js\"><\/script>\r\n<script>\r\n  hbspt.forms.create({\r\n    portalId: \"7624321\",\r\n    formId: \"7340f828-489d-4cfe-9c0c-28adaff646cd\",\r\n    region: \"na1\"\r\n  });\r\n<\/script>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\"><\/div>\n<\/div>\n\n\n\n<div class=\"conttitletext mwb-block py-4 lg:py-8\">\n        <div class=\"container md:grid md:grid-cols-12\">\n        <div class=\"col-span-6 col-start-5\">\n    \n           \n    \n            \n\n\n    \n\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <h4 aria-level=\"2\"><span style=\"color: #c11722;\">What is mobile mapping?\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">If\u00a0you\u2019re\u00a0new to mobile mapping, read\u00a0our\u00a0<\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/what-is-mobile-mapping-a-complete-beginners-guide\/\">Beginner\u2019s Guide<\/a><\/span><span data-contrast=\"auto\">. I<span class=\"TextRun SCXW41895810 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW41895810 BCX0\">n essence,\u00a0<\/span><span class=\"NormalTextRun CommentStart CommentHighlightPipeRest CommentHighlightRest SCXW41895810 BCX0\">mobile<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW41895810 BCX0\">\u00a0mapping systems in construction\u00a0<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW41895810 BCX0\">combine\u00a0<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW41895810 BCX0\">a survey dataset such as a LiDAR point cloud with geospatial data, gathered from a moving platform<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW41895810 BCX0\">. The resulting datasets can then be used for\u00a0<\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed CommentHighlightRest SCXW41895810 BCX0\">measurements, and<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW41895810 BCX0\">\u00a0<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW41895810 BCX0\">fed into CAD and BIM workflows.<\/span><\/span><\/span><\/p>\n<h5 aria-level=\"3\"><span style=\"color: #c11722;\">Core technologies (LiDAR, cameras, GNSS, IMU, INS)\u00a0<\/span><\/h5>\n<p><span data-contrast=\"auto\">Central to the mobile mapping system are the sensors used to gather the various types of data needed. These tend to be the localisation or positioning device, and an array of perception sensors. Typically, mobile mapping vehicles contain:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Camera, LiDAR, Radar to conduct the survey<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">LiDAR (Light Detection and Ranging) has increased in popularity for mobile mapping in infrastructure and construction. It uses beams of light to measure the distance between the sensor and objects on the site or building. The sensor creates millions of data points, which when georeferenced with position, orientation and timing data from a localisation solution forms a \u201cpoint cloud\u201d that can be used for incredibly precise measurements.<\/span><\/p>\n<ul>\n<li><span style=\"font-size: 1rem; letter-spacing: 0.03125rem;\" data-contrast=\"auto\">GNSS\/INS for localisation<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">A GNSS\/INS combines position data from Global Navigation Satellite Systems (GNSS) with data from an inertial measurement unit (IMU) to estimate position, heading, and orientation.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Learn more:\u00a0<\/span><\/b><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/what-is-an-inertial-navigation-system\/\">What is an inertial navigation system?<\/a><\/span><\/p>\n<p><span data-contrast=\"auto\">GNSS\/INS is one of the most common technologies for localisation, although Visual SLAM, LiDAR SLAM, and wheel odometry are also common, especially in indoor and mobile robot-based mapping.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h5><span style=\"color: #c11722;\">Emerging technologies: multi-sensor fusion platform for seamless position accuracy<\/span><\/h5>\n<p><span data-contrast=\"auto\">When your GNSS signal drops \u2013 for instance if you move indoors or through tunnels \u2013 you need to compensate for missing or inaccurate data.\u00a0<\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/solutions\/inertial-navigation-solutions\/navigation-hardware\/wayfinder\/\">Wayfinder<\/a><\/span><span data-contrast=\"auto\"><span style=\"color: #c11722;\">,<\/span> a real-time sensor fusion platform by OXTS, provides accurate position data in any environment \u2013 even when moving between indoor and outdoor spaces \u2013 by switching seamlessly between localisation methods.<\/span><\/p>\n<p><span data-contrast=\"auto\">Multi-sensor fusion is\u00a0arguably the\u00a0most exciting area of development in mobile mapping, as it\u00a0enables surveyors to get more\u00a0accurate\u00a0data from a wider range of environments,\u00a0greatly increasing\u00a0the value of the survey data for construction and infrastructure firms.<\/span><\/p>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-large is-resized\"><img decoding=\"async\" width=\"1024\" height=\"585\" src=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/10\/London-Urban-Canyon-1024x585.jpg\" alt=\"Uninterrupted trajectory data cannot be achived in a dense urban canyon without additional sensor input\" class=\"wp-image-10035\" style=\"aspect-ratio:1.7038961038961038;width:630px;height:auto\" srcset=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/10\/London-Urban-Canyon-1024x585.jpg 1024w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/10\/London-Urban-Canyon-300x172.jpg 300w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/10\/London-Urban-Canyon-768x439.jpg 768w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/10\/London-Urban-Canyon-1536x878.jpg 1536w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/10\/London-Urban-Canyon-2048x1171.jpg 2048w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/10\/London-Urban-Canyon-18x10.jpg 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Urban canyons present difficult conditions for many mobile systems<\/figcaption><\/figure>\n<\/div>\n\n\n<div class=\"conttitletext mwb-block py-4 lg:py-8\">\n        <div class=\"container md:grid md:grid-cols-12\">\n        <div class=\"col-span-6 col-start-5\">\n    \n           \n    \n            \n\n\n    \n\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <h4 aria-level=\"3\"><span style=\"color: #c11722;\">Platforms:\u00a0Vehicles, UAVs,\u00a0Robots, Backpacks<\/span><\/h4>\n<p><span data-contrast=\"auto\">There are multiple methods of carrying\u00a0mobile\u00a0mapping\u00a0systems. Some of the more common include:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"16\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\"><strong>Vehicles:<\/strong> Vans or cars loaded with cameras\u00a0and\u00a0LiDAR\u00a0sensors\u00a0ready to cover a wide area.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"16\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\"><strong>UAVs:<\/strong> Perfect for aerial\u00a0surveys of areas too big or inaccessible for vehicles.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"16\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\"><strong>Robots:<\/strong> Often used if the space is too tight for driving or flying, or too dangerous for humans.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"16\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\"><strong>Backpacks:<\/strong>\u00a0Useful for pedestrian-only or indoor areas.<\/span><\/li>\n<\/ul>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-large is-resized\"><img decoding=\"async\" width=\"1024\" height=\"697\" src=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/01\/Road-based-mobile-mapping-1024x697.png\" alt=\"road-based mobile mapping\" class=\"wp-image-10571\" style=\"width:697px;height:auto\" srcset=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/01\/Road-based-mobile-mapping-1024x697.png 1024w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/01\/Road-based-mobile-mapping-300x204.png 300w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/01\/Road-based-mobile-mapping-768x523.png 768w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/01\/Road-based-mobile-mapping-1536x1045.png 1536w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/01\/Road-based-mobile-mapping-18x12.png 18w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/01\/Road-based-mobile-mapping.png 2000w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Mobile mapping systems like WayFinder can cover vast areas when used on a vehicle<\/figcaption><\/figure>\n<\/div>\n\n\n<div class=\"conttitletext mwb-block py-4 lg:py-8\">\n        <div class=\"container md:grid md:grid-cols-12\">\n        <div class=\"col-span-6 col-start-5\">\n    \n           \n    \n            \n\n\n    \n\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <h4 aria-level=\"2\"><span style=\"color: #c11722;\">The key benefits of mobile mapping for infrastructure and construction\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">Compared to traditional static surveying, enables an engineer to gather more data, more quickly, and at a lower cost. Key benefits include:<\/span><\/p>\n<h6><span data-contrast=\"none\">1. Richer datasets for BIM and digital twins<\/span><\/h6>\n<p><span data-contrast=\"auto\">LiDAR surveys produce millions or even billions of data points, in turn allowing you as an infrastructure and construction professional to build rich,\u00a0detailed\u00a0and highly\u00a0accurate\u00a0models.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h6><span data-contrast=\"none\">2. Faster data collection over large areas<\/span><\/h6>\n<p><span data-contrast=\"auto\">Research published by the Royal Institution of Chartered Surveyors (RICS) in 2020 showed that mobile mapping is\u00a0<\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.civilengineeringjournals.com\/ijsse\/article\/14\/5-2-6-461.pdf\" target=\"_blank\" rel=\"noopener\">2 to 3 times\u00a0faster<\/a><\/span><span data-contrast=\"auto\">\u00a0than traditional surveying. That can\u00a0greatly speed\u00a0up projects and keep clients happy.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h6><span data-contrast=\"none\">3. Fewer site visits and fewer mistakes<\/span><\/h6>\n<p><span data-contrast=\"auto\">Faster surveys mean less time on site, reducing surveying costs. LiDAR surveys especially mean you\u00a0don\u2019t\u00a0need to do measurements on site \u2013 you can take measurements from the data. So, the chance of needing to re-visit a site because you missed a measurement plummet.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h6>4. Reduced cost and labour requirements<\/h6>\n<p><span data-contrast=\"auto\">As well as taking less time, Mobile Mapping\u00a0requires\u00a0fewer people than a typical traditional survey. In contrast, the less arduous setup requirements mean a typical mobile mapping survey can often be managed by one or two people.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h6><span data-contrast=\"none\">5. Improved safety\u00a0<\/span><\/h6>\n<p><span data-contrast=\"auto\">Fewer people on site, for less time, means less crowded building sites and minimises on-road exposure, reducing the risk of injury.<\/span><\/p>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-large is-resized\"><img decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0030-Black-1024x683.jpg\" alt=\"WayFinder for mobile mapping in infrastructure and construction\" class=\"wp-image-10977\" style=\"aspect-ratio:1.7038961038961038;width:630px;height:auto\" srcset=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0030-Black-1024x683.jpg 1024w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0030-Black-300x200.jpg 300w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0030-Black-768x512.jpg 768w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0030-Black-1536x1024.jpg 1536w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0030-Black-2048x1366.jpg 2048w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0030-Black-18x12.jpg 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">WayFinder fuses IMU, GNSS, LiDAR and camera data for precise positioning in any environment<\/figcaption><\/figure>\n<\/div>\n\n\n<div class=\"conttitletext mwb-block py-4 lg:py-8\">\n        <div class=\"container md:grid md:grid-cols-12\">\n        <div class=\"col-span-6 col-start-5\">\n    \n           \n    \n            \n\n\n    \n\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <h4 aria-level=\"2\"><span style=\"color: #c11722;\">Real-world applications transforming the industry\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">You may already have seen mobile mapping technology in\u00a0action, and\u00a0seen how much\u00a0it\u2019s\u00a0changing the game.\u00a0Let\u2019s\u00a0look at some of the most common real-world applications:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h6><strong>1. Road and highway mapping<\/strong><\/h6>\n<p><span class=\"TextRun SCXW77987091 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW77987091 BCX0\">Map a road by simply driving along it. This is much\u00a0<\/span><span class=\"NormalTextRun CommentStart CommentHighlightPipeRest CommentHighlightRest SCXW77987091 BCX0\">faster than tr<\/span><span class=\"NormalTextRun CommentHighlightPipeRest SCXW77987091 BCX0\">aditional surveys, vastly improves predictive maintenance, and provides valuable data for navigation apps.<\/span><span class=\"NormalTextRun SCXW77987091 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW77987091 BCX0\">It\u2019s<\/span><span class=\"NormalTextRun SCXW77987091 BCX0\">\u00a0also much safer<\/span><span class=\"NormalTextRun SCXW77987091 BCX0\">\u00a0for the workforce, as\u00a0<\/span><span class=\"NormalTextRun SCXW77987091 BCX0\">there\u2019s<\/span><span class=\"NormalTextRun SCXW77987091 BCX0\">\u00a0no need to stand by the roadside<\/span><span class=\"NormalTextRun SCXW77987091 BCX0\">.<\/span><\/span><\/p>\n<p><span data-contrast=\"auto\">Using technology provided by OXTS, for instance,\u00a0<span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/story\/panpro-team\/\">Panpro\u00a0Team<\/a><\/span> has surveyed more than 200km of roads in Europe this way.<\/span><\/p>\n<h6><strong>2. Rail corridor assessment<\/strong><\/h6>\n<p><span class=\"TextRun SCXW11956978 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW11956978 BCX0\">Rail corridors are challenging for sur<\/span><span class=\"NormalTextRun CommentStart CommentHighlightPipeRest CommentHighlightRest SCXW11956978 BCX0\">veyors, with trees canopies and tunnels blocking GNSS signal and aerial surveys.<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW11956978 BCX0\">\u00a0They also present significant safety risks for the surveyors venturing near the tracks to work.<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW11956978 BCX0\">\u00a0Bu<\/span><span class=\"NormalTextRun CommentHighlightPipeRest SCXW11956978 BCX0\">t with sensor fusion, combining inertial data with SLAM and other aids, you can map all these environments &#8211; even where GNSS signal would normally be blocked<\/span><span class=\"NormalTextRun SCXW11956978 BCX0\">\u00a0\u2013 without anyone having to walk along the tracks<\/span><span class=\"NormalTextRun SCXW11956978 BCX0\">.\u00a0<\/span><span class=\"NormalTextRun SCXW11956978 BCX0\">We\u2019ve<\/span><span class=\"NormalTextRun SCXW11956978 BCX0\"> even seen pilot projects where survey payloads are mounted to the trains themselves to provide continuous mapping of rail networks.<\/span><\/span><\/p>\n<h6><strong>3. Bridge and tunnel inspection<\/strong><\/h6>\n<p><span data-contrast=\"auto\">Bridges and tunnels are not only difficult to survey but often dangerous. Using drones with a mobile mapping set up can be much safer for workers as well as being much faster. The Michigan Department of Transportation found that UAV inspections with a drone took just <\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.itskrs.its.dot.gov\/2018-b01305\" target=\"_blank\" rel=\"noopener\">one quarter of the time of traditional methods<\/a><\/span><span data-contrast=\"auto\"><span style=\"color: #c11722;\">.<\/span><\/span><\/p>\n<h6><strong>4. Utility and asset management<\/strong><\/h6>\n<p><span data-contrast=\"auto\">Using high-precision GNSS and LiDAR to provide accurate 3D maps of utility infrastructure such as fibre cables, or a power plant, can support installation, maintenance and repair, with more efficiency and lower cost, not to mention greater safety as fewer personnel are required to go into live traffic or hazardous environments.<\/span><\/p>\n<h6><strong>5. Construction progress tracking<\/strong><\/h6>\n<p><span data-contrast=\"auto\">At each stage of the construction process, Mobile Mapping makes it quicker and easier to get an accurate picture of your progress:<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"22\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">At the pre-design stage, mobile mapping makes it easier to conduct feasibility studies by capturing existing geology,\u00a0clearances\u00a0and corridor constraints in a single dataset, providing survey-grade reality data before design assumptions are locked in.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"22\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">For design and engineering, mobile mapping provides detailed, georeferenced 3D data to help you\u00a0identify\u00a0issues and reduce your reliance on assumptions.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"22\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">During construction, mobile mapping enables periodic scans for monitoring and verification, highlighting any deviations from the design.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"22\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">At completion, mobile mapping captures the finished condition of the site for accurate as-built records, compliance, handover documents, and even the creation of a digital twin for ongoing building management. <span class=\"TextRun SCXW37367694 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun CommentHighlightPipeRest SCXW37367694 BCX0\">A<span style=\"color: #c11722;\"> <a style=\"color: #c11722;\" href=\"https:\/\/www.verdict.co.uk\/digital-twins-notre-dame-rebuild\/\" target=\"_blank\" rel=\"noopener\">digital twin of the Notre Dame cathedral<\/a> <\/span>was vital in the reconstruction efforts, providing a precise blueprint for restoration.<\/span><\/span><\/span><\/li>\n<\/ul>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n\n<div class=\"conttitletext mwb-block py-4 lg:py-8\">\n        <div class=\"container md:grid md:grid-cols-12\">\n        <div class=\"col-span-6 col-start-5\">\n    \n           \n    \n            \n\n\n    \n\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <h4 aria-level=\"2\"><span style=\"color: #c11722;\">Case examples: mobile mapping success in infrastructure projects\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">OXTS is proud to have been part of several successful mobile mapping projects in the construction and infrastructure space.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">One example is\u00a0<\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/story\/beexact\/\">BeeXact<\/a><\/span><span data-contrast=\"auto\">. BeeXact is the leading global service provider for 360-degree geospatial data, engineering, asset management and fibre network designs. When BeeXact was contracted to collect position and identification information for Italy\u2019s fibre optic infrastructure using LiDAR, they had to survey Italy\u2019s entire road network, a near impossible task with traditional methods.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Instead, they used LiDAR in combination with a custom data processing pipeline developed with OXTS, using NAVsolve CMD to automate the application of nationwide GNSS corrections from Leica\u2019s Smartnet RINEX service. This gave them vast and consistent levels of data and is being used as a template for similar projects in other countries.<\/span><\/p>\n<p><span data-contrast=\"auto\"><strong>Read the full story:<\/strong>\u00a0<\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/story\/beexact\/\">BeeXact<\/a>\u00a0<\/span><\/p>\n<p><span class=\"TextRun SCXW192592964 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW192592964 BCX0\">When it comes to the most complex sites, this technology is indispensable. When <\/span><\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/story\/dronezone\/\" target=\"_blank\" rel=\"noopener\"><span class=\"TextRun Underlined SCXW192592964 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW192592964 BCX0\" data-ccp-charstyle=\"Hyperlink\">Dronezone SRL<\/span><\/span><\/a><\/span><span class=\"TextRun SCXW192592964 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW192592964 BCX0\">\u00a0needed to map an old railway bridge, they used a Velodyne VLP-16 LiDAR sensor combined with a DZX8 Heavy Drone, and the xNAV650 from OXTS for localisation, meeting\u00a0<\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW192592964 BCX0\">SWaP<\/span><span class=\"NormalTextRun SCXW192592964 BCX0\">-C requirements while\u00a0<\/span><span class=\"NormalTextRun SCXW192592964 BCX0\">remaining<\/span><span class=\"NormalTextRun SCXW192592964 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW192592964 BCX0\">accurate<\/span><span class=\"NormalTextRun SCXW192592964 BCX0\">\u00a0enough to produce a 3D point cloud. Crucially, they also used OXTS\u00a0<\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW192592964 BCX0\">Georeferencer<\/span><span class=\"NormalTextRun SCXW192592964 BCX0\">, with boresight calibration capable of\u00a0<\/span><span class=\"NormalTextRun CommentStart CommentHighlightPipeRest CommentHighlightRest SCXW192592964 BCX0\">calibrating the\u00a0<\/span><span class=\"NormalTextRun CommentHighlightRest SCXW192592964 BCX0\">coordinate frames of<\/span><span class=\"NormalTextRun CommentHighlightPipeRest SCXW192592964 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW192592964 BCX0\">the xNAV650 and Velodyne VLP-16 sensor, removing any blurring or double vision from\u00a0<\/span><span class=\"NormalTextRun AdvancedProofingIssueV2Themed SCXW192592964 BCX0\">the final result<\/span><span class=\"NormalTextRun SCXW192592964 BCX0\">.<\/span><\/span><\/p>\n<p><span data-contrast=\"auto\"><strong>Read the full story:<\/strong>\u00a0<\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/story\/dronezone\/\">Dronezone SRL<\/a><\/span><\/p>\n<p><span data-contrast=\"auto\">New applications are being developed all the time. When<span style=\"color: #c11722;\">\u00a0<\/span><\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/story\/panpro-team\/\">Panpro Team<\/a><\/span><span style=\"color: #000000;\" data-contrast=\"auto\"> <span class=\"TextRun SCXW127588858 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW127588858 BCX0\">set out to develop a new arm of its business, providing traffic authorities with data about the distance drivers can see ahead or behind them<\/span><span class=\"NormalTextRun SCXW127588858 BCX0\">\u00a0on notoriously dangerous stretches of road networks. To do so<\/span><span class=\"NormalTextRun CommentStart CommentHighlightPipeRest CommentHighlightRest SCXW127588858 BCX0\">,\u00a0<\/span><span class=\"NormalTextRun CommentHighlightPipeRest SCXW127588858 BCX0\">engineers combined an OXTS xNAV650 GNSS\/INS for georeferencing, an Ouster OS2 LiDAR, and the OXTS <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW127588858 BCX0\">Georeferencer<\/span><span class=\"NormalTextRun SCXW127588858 BCX0\">\u00a0applicatio<\/span><span class=\"NormalTextRun CommentStart CommentHighlightPipeRest CommentHighlightRest SCXW127588858 BCX0\">n.\u00a0<\/span><span class=\"NormalTextRun CommentHighlightPipeRest SCXW127588858 BCX0\">The OXTS boresight calibration tool vastly reduced any blurring or double vision, producing\u00a0<\/span><span class=\"NormalTextRun SCXW127588858 BCX0\">accurate<\/span><span class=\"NormalTextRun SCXW127588858 BCX0\">\u00a0results that helped\u00a0<\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW127588858 BCX0\">Panpro<\/span><span class=\"NormalTextRun SCXW127588858 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW127588858 BCX0\">acquire<\/span><span class=\"NormalTextRun SCXW127588858 BCX0\">\u00a0clients in two EU countries.<\/span><\/span><\/span><\/p>\n<p><span data-contrast=\"auto\"><strong>Read the full story:<\/strong>\u00a0<\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/story\/panpro-team\/\">Panpro Team<\/a>\u00a0<\/span><\/p>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n\n<div class=\"conttitletext mwb-block py-4 lg:py-8\">\n        <div class=\"container md:grid md:grid-cols-12\">\n        <div class=\"col-span-6 col-start-5\">\n    \n           \n    \n            \n\n\n    \n\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <h4 aria-level=\"2\"><span style=\"color: #c11722;\">Challenges and considerations when deploying mobile mapping\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">The advantages of mobile mapping are real, but that\u00a0doesn\u2019t\u00a0mean there are no challenges to using it. In GNSS-denied environments, for example, mapping becomes very difficult\u00a0unless you have the right combination of additional\u00a0sensors. Weight can also be a hurdle when using drones or robots with limited battery life, so make sure you look for the right low-SWaP\u00a0payload. Ensure your data processing tools integrate with your BIM as well.<\/span><\/p>\n<p><span data-contrast=\"auto\">One of the most common issues that engineers and surveyors overlook is calibration and sensor alignment. Any slight misalignment between a GNSS\/INS and LiDAR can make your point cloud blurry and possibly unusable. The<span style=\"color: #c11722;\">\u00a0<\/span><\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/oxts-boresight-calibration-brochure\/\">OXTS Boresight Calibration Tool<\/a><\/span><span data-contrast=\"auto\"><span style=\"color: #c11722;\">\u00a0<\/span>solves this problem by taking\u00a0navigation data\u00a0from your INS and\u00a0using it to\u00a0quickly georeference raw LiDAR data.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This makes the process of aligning coordinate frames much faster. As a result, the final point cloud you produce in OXTS Georeferencer has greater clarity and no double-vision (objects appearing twice in the point cloud).<\/span><\/p>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n\n<div class=\"conttitletext mwb-block py-4 lg:py-8\">\n        <div class=\"container md:grid md:grid-cols-12\">\n        <div class=\"col-span-6 col-start-5\">\n    \n           \n    \n            \n\n\n    \n\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <h4 aria-level=\"2\"><span style=\"color: #c11722;\">The future of mobile mapping in construction<\/span><\/h4>\n<p><span data-contrast=\"auto\">As Mobile Mapping technology gets more advanced, 3D mapping for engineers and the construction industry is likely to get faster and more accurate.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">How?<\/span><\/p>\n<p><span data-contrast=\"auto\">Self-driving vehicles and autonomous UAVs have the potential to reduce the need to be on site even further. AI and machine learning can identify and classify features directly from point clouds and images, which could dramatically reduce the manual drafting burden.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">VR and AR, meanwhile,\u00a0mean that you can make\u00a0and review decisions\u00a0much more quickly\u00a0as plans and drawings get replaced by highly realistic\u00a03D representations, in digital and real environments.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Digital twins and smart infrastructure, finally, mean that IoT devices and sensors can support predictive maintenance and asset management with ever-increasing accuracy.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">\u00a0Just as with mobile mapping, this requires a solution that combines GNSS, IMU and LiDAR seamlessly to provide reliable and accurate data in any environment, even when GNSS signal is blocked.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n\n<div class=\"conttitletext mwb-block py-4 lg:py-8\">\n        <div class=\"container md:grid md:grid-cols-12\">\n        <div class=\"col-span-6 col-start-5\">\n    \n           \n    \n            \n\n\n    \n\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <h4 aria-level=\"2\"><span style=\"color: #c11722;\">Mobile mapping as a catalyst for faster, smarter infrastructure delivery\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">Mobile Mapping\u00a0allows you to conduct surveys on sites, even the most complex ones, more quickly and more easily than you could ever hope for from traditional methods,\u00a0all\u00a0while maintaining\u00a0the necessary levels of accuracy.<\/span><\/p>\n<p><span data-contrast=\"auto\">Technology, and not just Mobile Mapping, is reshaping where and how you spend your time and it\u2019s changing expectations around how quickly reliable reality data can move into design and construction workflows. As projects become more data-driven and as BIM, digital twins and asset management platforms mature, the value of rich, repeatable 3D capture only increases.<\/span><\/p>\n<p><span data-contrast=\"auto\">For surveyors and engineers, that means better control of risk, fewer site revisits, and faster access to trustworthy geometry for design and verification. For stakeholders across the board, that means ambition doesn\u2019t come with the same price tag and risk profile that it once did.<\/span><\/p>\n<p><span data-contrast=\"auto\">Ready to find out more? Whether you\u2019re looking at road mapping, using UAVs, or just curious about how mobile mapping could support you and your team, OXTS is here to help you build something great. Explore the\u00a0<\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/solutions\/industries-and-applications\/surveying-and-mapping\/\">OXTS range of surveying and mapping solutions<\/a><\/span><span data-contrast=\"auto\"> today.<\/span><\/p>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n\n<div class=\"hero001center mwb-block bg-left bg-cover bg-repeat-x lazyload relative\"     \n\n\n\n    style=\"background-image: url('https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/04\/WayFinder10-with-accessories-100x0-c-default.jpg')\"\n    data-bg=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/04\/WayFinder10-with-accessories-1400x0-c-default.jpg\"\n>\n    <div class=\"overlay bg-black\/30 absolute inset-0 z-0\"><\/div>\n    <div class=\"container text-white flex justify-left\">\n        <div class=\"max-w-lg pb-64 pt-16 md:pb-36 md:pt-36 relative z-10\">\n            \n                \n\n\n    \n\n\n                \n\n\n    \n\n    <h3 class=\"h3 inline-block max-w-xl mb-6 \">Download the WayFinder Datasheet<\/h3>\n\n                \n\n\n    \n\n    <p class=\"p inline-block  max-w-lg mb-6 \">Learn more about the specifications you can expect from the WayFinder sensor fusion system.<\/p>\n\n                \n\n\n\n\n    <div class=\"justify-left btns\">\n                        \n\n\n        \n    <a href=\"https:\/\/www.oxts.com\/wayfinder-datasheet\/\" class=\"btn primary outlined\" target=\"_blank\">\n                    <span>Download the WayFinder Datasheet<\/span>\n        <\/a>\n\n            <\/div>\n\n        <\/div>\n    <\/div>\n    <div id=\"info-block_26bc45d4a2fe595cb9e4f28ccf6b9ad3\"><\/div>\n<\/div>\n\n\n<div class=\"conttitletext mwb-block py-4 lg:py-8\">\n        <div class=\"container md:grid md:grid-cols-12\">\n        <div class=\"col-span-6 col-start-5\">\n    \n           \n    \n            \n\n\n    \n\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            \n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":5,"featured_media":10973,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[81,92,52,50,54,95,51,53],"tags":[82,70,75,84,64,65,85,76,129,128],"class_list":["post-10972","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mobile-mapping","category-oxts","category-rt3000","category-georeferencing","category-uav","category-wayfinder","category-xnav650","category-xred","tag-georeferencing","tag-gnss","tag-gnss-denied-localisation","tag-gnss-ins","tag-imu","tag-ins","tag-rt3000-v4","tag-wayfinder","tag-xnav650","tag-xred"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/posts\/10972","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/comments?post=10972"}],"version-history":[{"count":26,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/posts\/10972\/revisions"}],"predecessor-version":[{"id":11382,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/posts\/10972\/revisions\/11382"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/media\/10973"}],"wp:attachment":[{"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/media?parent=10972"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/categories?post=10972"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/tags?post=10972"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}