{"id":11110,"date":"2026-03-31T10:15:00","date_gmt":"2026-03-31T10:15:00","guid":{"rendered":"https:\/\/www.oxts.com\/?p=11110"},"modified":"2026-04-13T10:43:34","modified_gmt":"2026-04-13T10:43:34","slug":"oxts-joins-the-fight-against-poaching-in-africa","status":"publish","type":"post","link":"https:\/\/www.oxts.com\/zh\/oxts-joins-the-fight-against-poaching-in-africa\/","title":{"rendered":"OXTS \u52a0\u5165\u975e\u6d32\u6253\u51fb\u76d7\u730e\u7684\u884c\u5217"},"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\">It\u2019s one thing to talk about best practices for mobile mappers; it\u2019s another to showcase successful companies who are using OXTS positioning technology to do incredible things. In this blog, we\u2019re going beyond the theory to show you what can be achieved when using OXTS technology for mobile mapping. Particularly the fight against poaching in Africa.<\/h5>\n\n\n        <div class=\"wysiwyg p\">\n            <p><span data-contrast=\"auto\">Specifically, we\u2019re shining a light on a startup that\u2019s using our technology to do something completely unique, solving a problem that many thought impossible. We\u2019re so pleased to be a part of their story, and proud to share the work they\u2019re doing with you. They are Xeroth AI.<\/span><\/p>\n<h4 aria-level=\"2\"><span style=\"color: #c11722;\" data-contrast=\"none\">Who is\u00a0Xeroth\u00a0AI?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}\">\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">Xeroth\u00a0was founded in 2024, and includes in its\u00a0ranks\u00a0wildlife biologists, radar specialists, and remote monitoring experts.\u00a0Xeroth\u00a0exists to revolutionise how humanity safeguards the world\u2019s wildlife; specifically, it is investigating how to combine AI and Synthetic Aperture Radar (SAR) systems to\u00a0identify\u00a0and\u00a0remove\u00a0wire snare traps in national parks in South Africa.<\/span><\/p>\n<h4 aria-level=\"2\"><span style=\"color: #c11722;\">What is\u00a0Xeroth doing in the fight against poaching?<\/span><\/h4>\n<p><span data-contrast=\"auto\">Xeroth is mapping the location of wire snare traps in South African wildlife parks, so that they can be removed by rangers and wildlife can be protected.<\/span><\/p>\n<p><span data-contrast=\"auto\">Wire snare traps are incredibly cheap to produce, easy for poachers to deploy, and difficult for rangers to spot. They are also incredibly inhumane, inflicting great suffering on the animals caught in them and decreasing the odds of survival for animals associated with the initial victim (especially the young). They are also hugely indiscriminate, threatening nearly any animal larger than a mouse, and because they are so difficult to spot, rangers can spend much of their time removing traps and still be uncertain that they have been successful in removing them all from that area. It can also be highly dangerous, for example if the animal is still alive and the rest of its family are nearby.<\/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-full is-resized\"><img decoding=\"async\" width=\"600\" height=\"300\" src=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/African-Wildlife.png\" alt=\"African wildlife\" class=\"wp-image-11116\" style=\"width:630px\" srcset=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/African-Wildlife.png 600w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/African-Wildlife-300x150.png 300w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/African-Wildlife-18x9.png 18w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><figcaption class=\"wp-element-caption\">Wire snare traps capture wildlife indiscriminately<\/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            <p><span data-contrast=\"auto\">But the job is massive. In South Africa alone, for instance, protected areas where poachers are likely to operate amounts to around 11.3 million hectares; a massive area to cover. In addition, the difficulty with spotting wire snare traps means that rangers often only remove between 1 and 20% of existing traps, the number of which runs into the millions! To try and solve the issue another way, rangers often attempt to arrest poachers to cut off wire snares at the source. But with rangers and poachers coming from the same communities, this approach causes much conflict and tension.<\/span><\/p>\n<p><span data-contrast=\"auto\"><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.xeroth.ai\/\" target=\"_blank\" rel=\"noopener\">Xeroth\u2019s<\/a> <\/span>goal is to accurately map the positions of wire snare traps from the air. With this data, rangers can remove the traps far faster than they can at present and with far greater confidence that they have found all the traps in an area. This keeps poaching to a minimum without bringing unnecessary tensions into the local community \u2013 and, of course, it keeps wildlife from suffering an agonising death at the hands of the traps.<\/span><\/p>\n<p><span data-contrast=\"auto\">The solution\u00a0comprises\u00a0three distinct parts:<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">The snareSAR, Xeroth\u2019s bespoke SAR gathering data in the wild<\/span><\/li>\n<li><span data-contrast=\"auto\">The GNSS\/INS, providing accurate timing and position data to georeference the SAR data<\/span><\/li>\n<li><span data-contrast=\"auto\">The AI model that analyses the data to identify wire snare traps<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Xeroth\u00a0has been using the <span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/www.oxts.com\/solutions\/inertial-navigation-solutions\/navigation-hardware\/xnav650\/\" target=\"_blank\" rel=\"noopener\">xNAV650<\/a><\/span> from OXTS as its GNSS\/INS.<\/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;\" data-contrast=\"none\">How\u00a0the solution\u00a0works<\/span><\/h4>\n<p><span data-contrast=\"auto\">In the wild, the solution works in the following way:<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" 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;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">The survey payload is flown over a wide area, covering around 60 km<\/span><span data-contrast=\"auto\">2<\/span><span data-contrast=\"auto\">\/h.\u00a0snareSAR\u00a0scans the ground, and\u00a0is able to\u00a0penetrate through bush and tree canopies. The xNAV650 gathers position data,\u00a0accurate\u00a0to 2 cm, and acts as the master clock for the system, ensuring all the data is synchronised to a high degree of precision.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" 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;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">After the mission, the\u00a0data from\u00a0snareSAR\u00a0is georeferenced using the position data from the xNAV650, giving everything the radar picks up a precise position on the earth.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" 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;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">The georeferenced data is then processed by\u00a0Xeroth\u2019s\u00a0unique AI\u00a0model, which\u00a0identifies\u00a0the wire snare traps in the radar data.<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Xeroth\u2019s AI model is the truly ground-breaking part of the solution. The design of the wire snare traps means that they show up well in the snareSAR data \u2013 but the data is impossible for a human to interpret.<\/span><\/p>\n<p><span data-contrast=\"auto\">Xeroth\u2019s AI is a physics-informed neural network, or PINN, that sifts through the data from the SAR to identify the wire snare traps based on changes in polarisation state of the radar wave across four channels. <\/span><\/p>\n<p><span data-contrast=\"auto\">Even more incredibly, Xeroth\u2019s PINN doesn\u2019t just learn what a wire snare looks like in radar data; it learns <\/span><i><span data-contrast=\"auto\">why\u00a0<\/span><\/i><span data-contrast=\"auto\">the wire snare looks that way,\u00a0based on electromagnetic theory,\u00a0so that it can detect wire snares accurately in\u00a0a range of environments and conditions, without the need for large volumes of training data.<\/span><\/p>\n<p><span data-contrast=\"auto\">At present, Xeroth\u2019s focus is on training the AI model to recognise wire snare traps with ever-increasing confidence, and to rigorously test the solution to prove its efficacy.<\/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-full is-resized\"><img decoding=\"async\" width=\"624\" height=\"468\" src=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/Graham-and-Joe.jpg\" alt=\"Graham Wallington and Joe Earlham of Xeroth AI\" class=\"wp-image-11114\" style=\"aspect-ratio:1.7038961038961038;width:630px;height:auto\" srcset=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/Graham-and-Joe.jpg 624w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/Graham-and-Joe-300x225.jpg 300w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/Graham-and-Joe-16x12.jpg 16w\" sizes=\"(max-width: 624px) 100vw, 624px\" \/><figcaption class=\"wp-element-caption\">Joe Earlham and Graham Wallington during the snareSAR&#8217;s field acceptance testing<\/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;\">How OXTS is supporting\u00a0Xeroth<\/span><\/h4>\n<p><span data-contrast=\"auto\">Xeroth\u00a0is using the xNAV650 in its work. The GNSS\/INS is used in two areas: gathering real-world data (timing and position) during missions,\u00a0and also\u00a0for training the AI model.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h4 aria-level=\"3\"><span style=\"color: #c11722;\">Training the AI model<\/span><\/h4>\n<p><span data-contrast=\"auto\">To train its AI, Xeroth places wire snare traps in an area and surveys their position to a high degree of accuracy. The snareSAR data is then gathered and georeferenced, and the AI is told exactly where the wire snares are in the data. This enables the AI to study those areas and learn what the profile of a wire snare is.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This process relies on the\u00a0initial\u00a0survey of the wire snare being as\u00a0accurate\u00a0as possible.\u00a0If the AI is told that the snare is in a location\u00a0that\u2019s\u00a0incorrect, then the profile of a wire snare that it learns will be incorrect, and its ability to\u00a0identify\u00a0wire snare traps in the wild will be compromised.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">We\u2019re\u00a0proud to say that the\u00a0Xeroth\u00a0team are\u00a0very pleased\u00a0with the performance of the xNAV650 for training their model. Thanks to its centimetre-level precision, The AI algorithm\u00a0Xeroth\u00a0has created\u00a0is able to reliably\u00a0identify\u00a0wire snare traps\u00a0in the test environment.<\/span><span data-ccp-props=\"{}\">\u00a0<\/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-full is-resized\"><img decoding=\"async\" width=\"2560\" height=\"1707\" src=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0150-Black-scaled.jpg\" alt=\"Xeroth AI use the xNAV650 GNSS\/INS in their fight against poaching\" class=\"wp-image-11113\" style=\"width:697px;height:auto\" srcset=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0150-Black-scaled.jpg 2560w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0150-Black-300x200.jpg 300w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0150-Black-1024x683.jpg 1024w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0150-Black-768x512.jpg 768w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0150-Black-1536x1024.jpg 1536w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0150-Black-2048x1366.jpg 2048w, https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/7306-0150-Black-18x12.jpg 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><figcaption class=\"wp-element-caption\">Xeroth AI use the OXTS xNAV650 GNSS\/INS for positioning and time synchronisation<\/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;\">Gathering real-world data<\/span><\/h4>\n<p><span data-contrast=\"auto\">The xNAV650 is mounted alongside snareSAR in Xeroth\u2019s survey payload during survey missions. They chose the device for its precision and accuracy, as well as its small form factor \u2013 the payload will be mounted to a small single prop plane for missions. Xeroth has also used our NAVsolve CMD software to integrate post-processing capabilities into their toolset. This enables the team to run PPK corrections on their survey data to improve its accuracy, without having to switch applications.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The\u00a0xNAV650\u2019s ability to act as a master clock for the system is also vital to\u00a0snareSAR\u2019s\u00a0success, as it ensures that the final output can be processed and interpreted by the PINN. \u201cWithout it, the system would produce data that no amount of processing could recover,\u201d says Graham Wallington, CEO of\u00a0Xeroth.<\/span><\/p>\n<p><span data-contrast=\"auto\">When the OXTS data is combined with snareSAR and images from a high-resolution camera, Xeroth is able to rapidly scan an area at four different altitudes to create a tomographic synthetic aperture radar product, or TOMOSAR. This data gives Xeroth a 3D model of an area, with the wire snares accurately identified, which can be exported to tools such as Earthranger that rangers on the ground use to navigate through conservation areas and find the wire snare traps.<\/span><\/p>\n<p><span data-contrast=\"auto\">Better still, once a wire snare trap is\u00a0identified, the rangers can log its location. That data is passed back to\u00a0Xeroth\u2019s\u00a0AI model to further train it.<\/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;\">Looking to the future\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">The\u00a0Xeroth\u00a0team recently ran a\u00a0<\/span><span style=\"color: #c11722;\"><a style=\"color: #c11722;\" href=\"https:\/\/medium.com\/xeroth\/snaresar-passes-field-acceptance-next-stop-the-african-bush-d7ea9a5f9f7f\" target=\"_blank\" rel=\"noopener\">real-world test of snareSAR in the Cotswolds from the back of a car<\/a><\/span><span data-contrast=\"auto\">. The system, including the OXTS xNAV650, passed its field acceptance test and is now on its way to South Africa to begin field operational trials in the Greater Kruger area. It\u2019s one of the worst affected areas in the world for wire snare poaching \u2013 and the goal is to make maximum impact as quickly as possible.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">\u201cUltimately, if we can get this right then we can protect an enormous\u00a0amount\u00a0of animals from an incredibly inhumane method of poaching,\u201d says Graham. \u201cOn top of that, by targeting the snares\u00a0rather than the poachers, the rangers can spend less of their time battling against poachers\u00a0and risking community divisions, and more time looking after the wildlife they are there to manage.\u00a0We\u2019re\u00a0glad to have OXTS with us as a partner on this journey\u00a0\u2013\u00a0together, we will\u00a0create real and far-reaching change.\u201d<\/span><\/p>\n<p><b><span data-contrast=\"auto\">We will be following\u00a0Xeroth\u2019s\u00a0story\u00a0closely as it develops; subscribe to our blog to\u00a0see how this revolutionary mission unfolds.<\/span><\/b><\/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\/2026\/03\/xNAV650-for-website-100x0-c-default.png')\"\n    data-bg=\"https:\/\/www.oxts.com\/wp-content\/uploads\/2026\/03\/xNAV650-for-website-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 xNAV650 Datasheet<\/h3>\n\n                \n\n\n    \n\n    <p class=\"p inline-block  max-w-lg mb-6 \">Learn more about the xNAV650 GNSS\/INS<\/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-xnav650-datasheet\/\" class=\"btn primary outlined\" target=\"_blank\">\n                    <span>Download the xNAV650 Datasheet<\/span>\n        <\/a>\n\n            <\/div>\n\n        <\/div>\n    <\/div>\n    <div id=\"info-block_18e64228b5a9bcec8fba381ff8311058\"><\/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":11117,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[81,92,50],"tags":[82,70,75,64,65,85,76],"class_list":["post-11110","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mobile-mapping","category-oxts","category-georeferencing","tag-georeferencing","tag-gnss","tag-gnss-denied-localisation","tag-imu","tag-ins","tag-rt3000-v4","tag-wayfinder"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/posts\/11110","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=11110"}],"version-history":[{"count":35,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/posts\/11110\/revisions"}],"predecessor-version":[{"id":11376,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/posts\/11110\/revisions\/11376"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/media\/11117"}],"wp:attachment":[{"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/media?parent=11110"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/categories?post=11110"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.oxts.com\/zh\/wp-json\/wp\/v2\/tags?post=11110"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}