{"id":2346,"date":"2012-08-21T08:41:05","date_gmt":"2012-08-21T08:41:05","guid":{"rendered":"http:\/\/www.vftb.com\/?p=2346"},"modified":"2026-03-04T01:10:21","modified_gmt":"2026-03-03T16:10:21","slug":"magnetic-field-calibration-data-visualization","status":"publish","type":"post","link":"https:\/\/www.lp-research.com\/ja\/magnetic-field-calibration-data-visualization\/","title":{"rendered":"Magnetic Field Calibration Data: Visualization &#038; IMU Yaw"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][vc_column_text]<\/p>\n<p>One of the trickiest things for reliably measuring orientations with the LPMS is the calibration of the magnetic field sensor. The functionality of the sensor is essential for determining the yaw angle of the sensor without drift. If we used only the gyrsocope to measure the yaw angle a drift of a few angles would already occur after 10 or 20 seconds of movement.<\/p>\n<p>The normally spherical shape of the environment magnetic field is, especially in the vicinity of metal or electric circuits, often distorted to an ellipsoid. Such distoritions are efficiently compensated by calibrating the LPMS. However it is hard for the user to see if the calibration was successful or what the resulting data means about the surrounding electromagnetic field. Therefore we added a visualization of this data to the control software of the sensor (LpmsControl) that is to give a better understanding of the calibration results (see image below).<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_single_image image=&#8221;12182&#8243; img_size=&#8221;medium&#8221; alignment=&#8221;center&#8221;][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n<p>We use a special algorithm to reduce the influence of a distorted magnetic environment field on the orientation measurements of the sensor. A comparison of orientation tracking without and with using this algorithm is shown below.<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_video link=&#8221;http:\/\/vimeo.com\/50924720&#8243;][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text] One of the trickiest things for reliably measuring orientations with the L [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[4,48],"tags":[12,66],"class_list":["post-2346","post","type-post","status-publish","format-standard","hentry","category-blog","category-product","tag-lpms","tag-magnetic-field-calibration-data"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.1 (Yoast SEO v24.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Magnetic Field Calibration Data: Visualization &amp; IMU Yaw - LP-Research<\/title>\n<meta name=\"description\" content=\"Understand magnetic field calibration data for IMUs. Learn how visualizing distortions helps achieve drift-free yaw angles with LP-Research sensors.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Magnetic Field Calibration Data: Visualization &amp; IMU Yaw\" \/>\n<meta property=\"og:description\" content=\"Understand magnetic field calibration data for IMUs. Learn how visualizing distortions helps achieve drift-free yaw angles with LP-Research sensors.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/\" \/>\n<meta property=\"og:site_name\" content=\"LP-Research\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/lpresearch\" \/>\n<meta property=\"article:published_time\" content=\"2012-08-21T08:41:05+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-03T16:10:21+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.lp-research.com\/wp-content\/uploads\/2015\/08\/2_LogoNeda.png\" \/>\n\t<meta property=\"og:image:width\" content=\"245\" \/>\n\t<meta property=\"og:image:height\" content=\"104\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Klaus Petersen\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@LPResearch\" \/>\n<meta name=\"twitter:site\" content=\"@LPResearch\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"Klaus Petersen\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"2\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/\"},\"author\":{\"name\":\"Klaus Petersen\",\"@id\":\"https:\/\/www.lp-research.com\/#\/schema\/person\/d33893eacbac18042e119cbbb28760c6\"},\"headline\":\"Magnetic Field Calibration Data: Visualization &#038; IMU Yaw\",\"datePublished\":\"2012-08-21T08:41:05+00:00\",\"dateModified\":\"2026-03-03T16:10:21+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/\"},\"wordCount\":252,\"publisher\":{\"@id\":\"https:\/\/www.lp-research.com\/#organization\"},\"keywords\":[\"LPMS\",\"Magnetic Field Calibration Data\"],\"articleSection\":[\"Blog\",\"Product\"],\"inLanguage\":\"ja\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/\",\"url\":\"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/\",\"name\":\"Magnetic Field Calibration Data: Visualization & IMU Yaw - LP-Research\",\"isPartOf\":{\"@id\":\"https:\/\/www.lp-research.com\/#website\"},\"datePublished\":\"2012-08-21T08:41:05+00:00\",\"dateModified\":\"2026-03-03T16:10:21+00:00\",\"description\":\"Understand magnetic field calibration data for IMUs. Learn how visualizing distortions helps achieve drift-free yaw angles with LP-Research sensors.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/#breadcrumb\"},\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.lp-research.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Magnetic Field Calibration Data: Visualization &#038; IMU Yaw\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.lp-research.com\/#website\",\"url\":\"https:\/\/www.lp-research.com\/\",\"name\":\"LP-RESEARCH\",\"description\":\"Advanced Sensor Fusion Solution and IMUs\",\"publisher\":{\"@id\":\"https:\/\/www.lp-research.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.lp-research.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ja\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.lp-research.com\/#organization\",\"name\":\"LP-RESEARCH Inc.\",\"url\":\"https:\/\/www.lp-research.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/www.lp-research.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.lp-research.com\/wp-content\/uploads\/2015\/08\/2_LogoNeda.png\",\"contentUrl\":\"https:\/\/www.lp-research.com\/wp-content\/uploads\/2015\/08\/2_LogoNeda.png\",\"width\":245,\"height\":104,\"caption\":\"LP-RESEARCH Inc.\"},\"image\":{\"@id\":\"https:\/\/www.lp-research.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/lpresearch\",\"https:\/\/x.com\/LPResearch\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.lp-research.com\/#\/schema\/person\/d33893eacbac18042e119cbbb28760c6\",\"name\":\"Klaus Petersen\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/www.lp-research.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/0b49144226532e2260097f60df3d62793d0ac9d8a2bd5c475971988daa794271?s=96&d=retro&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/0b49144226532e2260097f60df3d62793d0ac9d8a2bd5c475971988daa794271?s=96&d=retro&r=g\",\"caption\":\"Klaus Petersen\"},\"description\":\"I like to create magical things, especially projects related to new technologies like augmented and virtual reality, mobile robotics and MEMS-based sensor networks. I code in C(++) and Python, trying to keep up with my very talented colleagues :-)\",\"url\":\"https:\/\/www.lp-research.com\/ja\/author\/klauspetersenlpresearch\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Magnetic Field Calibration Data: Visualization & IMU Yaw - LP-Research","description":"Understand magnetic field calibration data for IMUs. Learn how visualizing distortions helps achieve drift-free yaw angles with LP-Research sensors.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/","og_locale":"ja_JP","og_type":"article","og_title":"Magnetic Field Calibration Data: Visualization & IMU Yaw","og_description":"Understand magnetic field calibration data for IMUs. Learn how visualizing distortions helps achieve drift-free yaw angles with LP-Research sensors.","og_url":"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/","og_site_name":"LP-Research","article_publisher":"https:\/\/www.facebook.com\/lpresearch","article_published_time":"2012-08-21T08:41:05+00:00","article_modified_time":"2026-03-03T16:10:21+00:00","og_image":[{"width":245,"height":104,"url":"https:\/\/www.lp-research.com\/wp-content\/uploads\/2015\/08\/2_LogoNeda.png","type":"image\/png"}],"author":"Klaus Petersen","twitter_card":"summary_large_image","twitter_creator":"@LPResearch","twitter_site":"@LPResearch","twitter_misc":{"\u57f7\u7b46\u8005":"Klaus Petersen","\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593":"2\u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/#article","isPartOf":{"@id":"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/"},"author":{"name":"Klaus Petersen","@id":"https:\/\/www.lp-research.com\/#\/schema\/person\/d33893eacbac18042e119cbbb28760c6"},"headline":"Magnetic Field Calibration Data: Visualization &#038; IMU Yaw","datePublished":"2012-08-21T08:41:05+00:00","dateModified":"2026-03-03T16:10:21+00:00","mainEntityOfPage":{"@id":"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/"},"wordCount":252,"publisher":{"@id":"https:\/\/www.lp-research.com\/#organization"},"keywords":["LPMS","Magnetic Field Calibration Data"],"articleSection":["Blog","Product"],"inLanguage":"ja"},{"@type":"WebPage","@id":"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/","url":"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/","name":"Magnetic Field Calibration Data: Visualization & IMU Yaw - LP-Research","isPartOf":{"@id":"https:\/\/www.lp-research.com\/#website"},"datePublished":"2012-08-21T08:41:05+00:00","dateModified":"2026-03-03T16:10:21+00:00","description":"Understand magnetic field calibration data for IMUs. Learn how visualizing distortions helps achieve drift-free yaw angles with LP-Research sensors.","breadcrumb":{"@id":"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/#breadcrumb"},"inLanguage":"ja","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.lp-research.com\/magnetic-field-calibration-data-visualization\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.lp-research.com\/"},{"@type":"ListItem","position":2,"name":"Magnetic Field Calibration Data: Visualization &#038; IMU Yaw"}]},{"@type":"WebSite","@id":"https:\/\/www.lp-research.com\/#website","url":"https:\/\/www.lp-research.com\/","name":"LP-RESEARCH","description":"Advanced Sensor Fusion Solution and IMUs","publisher":{"@id":"https:\/\/www.lp-research.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.lp-research.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ja"},{"@type":"Organization","@id":"https:\/\/www.lp-research.com\/#organization","name":"LP-RESEARCH Inc.","url":"https:\/\/www.lp-research.com\/","logo":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/www.lp-research.com\/#\/schema\/logo\/image\/","url":"https:\/\/www.lp-research.com\/wp-content\/uploads\/2015\/08\/2_LogoNeda.png","contentUrl":"https:\/\/www.lp-research.com\/wp-content\/uploads\/2015\/08\/2_LogoNeda.png","width":245,"height":104,"caption":"LP-RESEARCH Inc."},"image":{"@id":"https:\/\/www.lp-research.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/lpresearch","https:\/\/x.com\/LPResearch"]},{"@type":"Person","@id":"https:\/\/www.lp-research.com\/#\/schema\/person\/d33893eacbac18042e119cbbb28760c6","name":"Klaus Petersen","image":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/www.lp-research.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/0b49144226532e2260097f60df3d62793d0ac9d8a2bd5c475971988daa794271?s=96&d=retro&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/0b49144226532e2260097f60df3d62793d0ac9d8a2bd5c475971988daa794271?s=96&d=retro&r=g","caption":"Klaus Petersen"},"description":"I like to create magical things, especially projects related to new technologies like augmented and virtual reality, mobile robotics and MEMS-based sensor networks. I code in C(++) and Python, trying to keep up with my very talented colleagues :-)","url":"https:\/\/www.lp-research.com\/ja\/author\/klauspetersenlpresearch\/"}]}},"_links":{"self":[{"href":"https:\/\/www.lp-research.com\/ja\/wp-json\/wp\/v2\/posts\/2346","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lp-research.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lp-research.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lp-research.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lp-research.com\/ja\/wp-json\/wp\/v2\/comments?post=2346"}],"version-history":[{"count":21,"href":"https:\/\/www.lp-research.com\/ja\/wp-json\/wp\/v2\/posts\/2346\/revisions"}],"predecessor-version":[{"id":23514,"href":"https:\/\/www.lp-research.com\/ja\/wp-json\/wp\/v2\/posts\/2346\/revisions\/23514"}],"wp:attachment":[{"href":"https:\/\/www.lp-research.com\/ja\/wp-json\/wp\/v2\/media?parent=2346"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lp-research.com\/ja\/wp-json\/wp\/v2\/categories?post=2346"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lp-research.com\/ja\/wp-json\/wp\/v2\/tags?post=2346"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}