{"id":8762,"date":"2025-07-01T09:50:00","date_gmt":"2025-07-01T09:50:00","guid":{"rendered":"https:\/\/www.oxts.com\/?p=8762"},"modified":"2025-12-23T15:26:07","modified_gmt":"2025-12-23T15:26:07","slug":"make-mobile-mapping-easier-with-the-rt3000v4","status":"publish","type":"post","link":"https:\/\/www.oxts.com\/ko\/make-mobile-mapping-easier-with-the-rt3000v4\/","title":{"rendered":"RT3000 v4\ub85c \ubaa8\ubc14\uc77c \ub9e4\ud551\uc744 \ub354 \uc27d\uac8c \ub9cc\ub4e4\uae30"},"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    <h3 class=\"h3 mb-6\">Make mobile mapping easier with the RT3000 v4<\/h3>\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <p><strong>Delivering great surveys for customers is increasingly reliant on high-quality localisation data. And that data can be obtained in a variety of ways.<\/strong><\/p>\n<p><span data-contrast=\"auto\">Many surveyors, both land-based and airborne, are using GNSS-aided inertial navigation systems (GNSS\/INS) to gather high-precision localisation data during surveying missions. In this blog, we\u2019re unashamedly showing off our latest GNSS\/INS, the <a href=\"https:\/\/www.oxts.com\/solutions\/inertial-navigation-solutions\/navigation-hardware\/rt3000-v4\/\" target=\"_blank\" rel=\"noopener\">RT3000 v4<\/a>, and talking about how it can help make mobile mapping easier.<\/span><\/p>\n<h4>Meet the RT3000 v4 and make mobile mapping easier<\/h4>\n<p><!-- \/wp:paragraph --><\/p>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/7306-0050-Black-1024x683.jpg\" alt=\"Make mobile mapping easier with the RT3000 v4\" class=\"wp-image-8763\" style=\"width:600px\" srcset=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/7306-0050-Black-1024x683.jpg 1024w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/7306-0050-Black-300x200.jpg 300w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/7306-0050-Black-768x512.jpg 768w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/7306-0050-Black-1536x1024.jpg 1536w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/7306-0050-Black-2048x1366.jpg 2048w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/7306-0050-Black-18x12.jpg 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">RT3000 v4 GNSS\/INS<\/figcaption><\/figure>\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            <p><span data-contrast=\"auto\">The RT3000 v4 is our most accurate GNSS\/INS ever. It features our most advanced MEMS inertial measurement unit \u2013 the IMU10, combined with survey-grade GNSS receivers. And in keeping with OXTS tradition, it combines those components with advanced algorithms and clever calibrations to deliver performance comparable with more expensive FOG INS devices.<\/span><\/p>\n<p><span data-contrast=\"auto\">There are multiple versions of the RT3000 v4 for you to choose from, alongside the standard version:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" 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;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">The <strong>RT3000 v4 T<\/strong>, which gives you access to TerraStar correction data.<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" 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;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">The <strong>RT3000 v4 16G<\/strong>, which is capable of measuring up to 16Gs of force.<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" 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;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">The <strong>RT3000 v4 DO-160<\/strong>, which has been tested against the stringent DO-160 standards for protection against, heat, cold, water, dust, EMF, and more.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Whichever model you choose, compared to previous editions of the RT3000, the RT3000 v4 is up to 90% more accurate in how it measures position, while being 50% smaller and 70% lighter. For mobile mappers, that accuracy naturally translates into more precise georeferencing data for your survey. But there are some other features that make the RT3000 v4 handy for surveyors looking to make mobile mapping easier.<\/span><\/p>\n<p><span data-contrast=\"auto\">Please note though, this isn&#8217;t an exhaustive list, these are just some of our favourites!<\/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    <h4 class=\"h4 mb-6\">1. Faster warm up means more time surveying<\/h4>\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <p><span data-contrast=\"auto\">The RT3000 v4 warms up with just three minutes of low-dynamic movement \u2013 around six times faster than previous models.<\/span><\/p>\n<p>This impacts GNSS\/INS users in two ways. With less time warming up, surveyors can spend more time collecting data, which in turn helps to cover more ground during a project. It also means a surveyor doesn&#8217;t need to find the space to perform high-dynamic manoeuvres before starting a data collection project.<\/p>\n<p>The graphs below detail the improvement in the time taken to get to pitch and roll specification between the RT3000 v4 and the older v2 version.<\/p>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" width=\"940\" height=\"563\" src=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Pitch-accuracy-convergence-v4-v2.png\" alt=\"Pitch accuracy convergence\" class=\"wp-image-8777\" style=\"width:600px\" srcset=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Pitch-accuracy-convergence-v4-v2.png 940w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Pitch-accuracy-convergence-v4-v2-300x180.png 300w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Pitch-accuracy-convergence-v4-v2-768x460.png 768w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Pitch-accuracy-convergence-v4-v2-18x12.png 18w\" sizes=\"(max-width: 940px) 100vw, 940px\" \/><figcaption class=\"wp-element-caption\">Pitch accuracy &#8211; time to specification<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" width=\"940\" height=\"563\" src=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Roll-accuracy-convergence-v4-v2.png\" alt=\"Roll accuracy convergence\" class=\"wp-image-8778\" style=\"width:600px\" srcset=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Roll-accuracy-convergence-v4-v2.png 940w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Roll-accuracy-convergence-v4-v2-300x180.png 300w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Roll-accuracy-convergence-v4-v2-768x460.png 768w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Roll-accuracy-convergence-v4-v2-18x12.png 18w\" sizes=\"(max-width: 940px) 100vw, 940px\" \/><figcaption class=\"wp-element-caption\">Roll accuracy &#8211; time to specification<\/figcaption><\/figure>\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    <h4 class=\"h4 mb-6\">2. PTP synchronisation delivers more accurate data<\/h4>\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <p><span data-contrast=\"auto\">Direct georeferencing techniques, like those using a GNSS\/INS, rely on precise clock synchronisation between the localisation solution and the sensors doing the survey. The closer the synchronisation, the higher quality the final output will be.<\/span><\/p>\n<p><span data-contrast=\"auto\">Older systems will do this using a pulse per second (PPS) signal, which is effective but complicated to implement and requires a lot of hardware. PTP, on the other hand, takes place entirely over ethernet, simplifying setup and making it easier to synchronise your sensors. The RT3000 v4 includes PTP synchronisation as standard, allowing you to achieve the best sensor setup on your surveying payload.<\/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    <h4 class=\"h4 mb-6\">3. Software tools improve point cloud generation<\/h4>\n\n            \n\n\n    \n\n\n\n        <div class=\"wysiwyg p\">\n            <p><span data-contrast=\"auto\">LiDAR has quickly become one of the most popular surveying tools thanks to its ability to produce detailed point clouds that allow for precise measurements, high levels of accuracy, and the ability to analyse data repeatedly without having to conduct additional scans. Delivering a point cloud of that quality, however, relies on your ability to accurately georeference each point \u2013 and do so in a timely manner. <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The RT3000 v4 is compatible with <a href=\"https:\/\/www.oxts.com\/solutions\/inertial-navigation-solutions\/software\/oxts-georeferencer\/\">OXTS Georeferencer<\/a>, our point cloud georeferencing application. It enables you to quickly and easily combine data from your GNSS\/INS and your LiDAR, giving you a fully georeferenced point cloud in just a few clicks.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">OXTS Georeferencer also contains our boresight calibration tool, which precisely aligns the coordinate frames of the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Lidar\" target=\"_blank\" rel=\"noopener\">LiDAR<\/a> and GNSS\/INS before your survey. Those measurements are used to eliminate blurring and \u2018double vision\u2019 that can often mar point clouds \u2013 making your work even more valuable to clients.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n\n        <\/div>\n\n            <\/div>\n    <\/div>\n    \n            \n    <\/div>\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" width=\"941\" height=\"539\" src=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Road-Tree-Canopy-Pointcloud-1.png\" alt=\"\" class=\"wp-image-8773\" style=\"width:600px\" srcset=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Road-Tree-Canopy-Pointcloud-1.png 941w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Road-Tree-Canopy-Pointcloud-1-300x172.png 300w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Road-Tree-Canopy-Pointcloud-1-768x440.png 768w, https:\/\/www.oxts.com\/wp-content\/uploads\/2025\/06\/Road-Tree-Canopy-Pointcloud-1-18x10.png 18w\" sizes=\"(max-width: 941px) 100vw, 941px\" \/><figcaption class=\"wp-element-caption\">OXTS point cloud created using OXTS Georeferencer<\/figcaption><\/figure>\n\n\n\n<p class=\"has-light-grey-color has-text-color has-link-color wp-elements-a447462da46bc0aadafd489e13088bc4 wp-block-paragraph\">I<\/p>\n\n\n\n<p class=\"has-light-grey-color has-text-color has-link-color wp-elements-a447462da46bc0aadafd489e13088bc4 wp-block-paragraph\">I<\/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\/2024\/05\/RT3000-v4-1-100x0-c-default.png')\"\n    data-bg=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2024\/05\/RT3000-v4-1-1400x0-c-default.png\"\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 RT3000 v4 Datasheet<\/h3>\n\n                \n\n\n    \n\n    <p class=\"p inline-block  max-w-lg mb-6 \">The RT3000 v4 can help you to deliver your mobile mapping project accurately, reliably and on-budget. Find out the technical specifications and more key information here.<\/p>\n\n                \n\n\n\n\n    <div class=\"justify-left btns\">\n                        \n\n\n        \n    <a href=\"https:\/\/www.oxts.com\/the-rt3000-v4-datasheet\/\" class=\"btn primary outlined\" target=\"_self\">\n                    <span>The RT3000 v4 datasheet<\/span>\n        <\/a>\n\n            <\/div>\n\n        <\/div>\n    <\/div>\n    <div id=\"info-block_5a2df8e6d9215d5bf04e36faded86c60\"><\/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":"<p>I I<\/p>","protected":false},"author":5,"featured_media":8839,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[6,81,52,50],"tags":[82,84,83,86,88,85],"class_list":["post-8762","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-articles","category-mobile-mapping","category-rt3000","category-georeferencing","tag-georeferencing","tag-gnss-ins","tag-mobile-mapping","tag-oxts-georeferencer","tag-ptp","tag-rt3000-v4"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/posts\/8762","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/comments?post=8762"}],"version-history":[{"count":72,"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/posts\/8762\/revisions"}],"predecessor-version":[{"id":9288,"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/posts\/8762\/revisions\/9288"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/media\/8839"}],"wp:attachment":[{"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/media?parent=8762"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/categories?post=8762"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.oxts.com\/ko\/wp-json\/wp\/v2\/tags?post=8762"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}