{"product_id":"obsidian-group-ins-v2","title":"Obsidian Group INS V2","description":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003eLearn about how M-Engineering used the INS V2 in our 992 Carrera 4S in this RennList post \u003ca href=\"https:\/\/rennlist.com\/forums\/992\/1470648-porsche-992-carrera-4s-obsidian-ins-testing-w-m-tuner-apex-motor-club.html\"\u003ehere.\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/IL2srpLUHzU?si=mQCsTB2s8os25fMI\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003cem\u003eLead time is approximately 1 week to ship from time of order. \u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cbr\u003e\u003c\/em\u003eGNSS + IMU with online pose estimation filter.\u003cbr\u003e\u003cbr\u003eThis device is a multi-functional sensor that merges two main components:\u003cbr\u003e\u003cbr\u003e-An Inertial Measurement Unit (IMU) that has a 3-axis accelerometer and a 3-axis gyroscope. The accelerometer measures changes in velocity along three perpendicular axes (x, y, and z), and the gyroscope detects changes in rotational position (pitch, roll, and yaw) along the same axes.\u003cbr\u003e\u003cbr\u003e-A Global Navigation Satellite System (GNSS) receiver, which communicates with satellites to determine the sensor's location on Earth.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e200Hz 32-bit Position (Latitude, Longitude, Altitude)\u003c\/li\u003e\n\u003cli\u003e400Hz 32-bit Velocity (Body X, Body Y, Body Z, and 2D Speed)\u003c\/li\u003e\n\u003cli\u003e400Hz 32-bit Body Frame Acceleration (Gravity Removed) (X, Y, Z) with online acceleration bias compensation\u003c\/li\u003e\n\u003cli\u003e400Hz 32-bit Angular Rate (X, Y, Z) with online gyro bias compensation\u003c\/li\u003e\n\u003cli\u003e400Hz 16-bit Orientation (Roll, Pitch, Yaw (Degrees))\u003c\/li\u003e\n\u003cli\u003e100Hz \"MoTeC GPS\" simulation option for integration with MoTeC M1 ECU applications with locked firmware (GT-R, Lamborghini, etc...)\u003c\/li\u003e\n\u003cli\u003eCNC aluminum enclosure with Deutsch ASL connection\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cbr\u003eWhat makes this sensor unique is its onboard sensor fusion algorithm. This sophisticated software combines the different measurements from the IMU and the GNSS to produce very accurate and fast updates on the sensor's position, orientation, and movement.\u003cbr\u003e\u003cbr\u003eThe sensor fusion algorithm also corrects for biases (systematic errors) in the accelerometer and gyroscope measurements, ensuring even more accurate data.\u003cbr\u003e\u003cbr\u003eMoreover, the device can calculate the velocities in the sensor's (or the vehicle's) own frame of reference, which can be extremely useful for understanding and controlling its movement.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003ePurpose:\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eThe main objective with this sensor is to put cutting-edge, high-performance sensor fusion algorithms into the hands of motorsport integrators and motorsport engineers without having to deal with sensor calibration, embedded systems, or understanding the sensitivity of MEMS IMU’s, specifically.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eFunctional Overview:\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eThe sensor fusion algorithm that runs on this sensor is an Extended Kalman Filter (EKF). An EKF is a filter that combines data from multiple sensors and provides a best guess estimate of the position, orientation, and velocity of the vehicle.\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv data-item-key=\"bottomSpacer\" data-qa=\"virtual-list-item\" id=\"message-list_bottomSpacer\" role=\"presentation\" class=\"c-virtual_list__item\" aria-setsize=\"-1\" tabindex=\"-1\"\u003e\u003c\/div\u003e\n\u003cfigure class=\"wp-block-image size-large\"\u003e\n\u003cfigcaption\u003e\u003cstrong\u003eObsidian Group INS V2\u003c\/strong\u003e\u003c\/figcaption\u003e\n\u003c\/figure\u003e\n\u003cp\u003e\u003cem\u003eUser Manual:\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003ca href=\"https:\/\/www.dropbox.com\/scl\/fi\/e815qq26vo31pjob6qws9\/Inertial-GPS-Manual-43.pdf?rlkey=s1whb2wlv1ne8kppn8cvmpi5q\u0026amp;dl=0\" data-type=\"URL\"\u003eINS User Manual (.pdf)\u003c\/a\u003e\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e\u003cem\u003eupdate 9\/3\/2023\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eSoftware Integration:\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dropbox.com\/s\/uar6lmrmlh7ywax\/Obsidian%20MG%20Sensors.chx?dl=0\"\u003e\u003cstrong\u003eMoTeC Dash Channel Configuration File (.chx)\u003c\/strong\u003e\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003e(MoTeC Dash Channel File)\u003cspan\u003e \u003c\/span\u003e\u003cem\u003eupdate 9\/3\/2023\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dropbox.com\/scl\/fi\/1yglm94vipp98zwsbetm9\/Obsidian-INS-Compound-RX-Version-43.CC9?rlkey=lhbewqthy1vrig9fz61kih0l0\u0026amp;dl=0\"\u003e\u003cstrong\u003eMoTeC Dash CAN Configuration File Version 43 (.cc9)\u003c\/strong\u003e\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003e(MoTeC Dash Channel Config)\u003cspan\u003e \u003c\/span\u003e\u003cem\u003eupdate 9\/3\/2023\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dropbox.com\/scl\/fi\/n82lc4r3jxlazgnnzmuc5\/ins_version_43.dbc?rlkey=qpxh1c41v6nzh5cwoznlo6sxe\u0026amp;dl=0\"\u003e\u003cstrong\u003eUniversal CAN Database Configuration File Version 43 (.dbc)\u003c\/strong\u003e\u003c\/a\u003e\u003cstrong\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e(Bosch Motorsport et. others) \u003cem\u003eupdate 9\/3\/2023\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dropbox.com\/s\/je2okua0ihq4r96\/Obsidian%20Motorsport%20Sensor%20Export%20HW%20Version%202.m1prj-archive?dl=0\"\u003e\u003cstrong\u003eMoTeC M1 Build Project Hardware Revision 2 (.m1prj)\u003c\/strong\u003e\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003e(MoTeC M1 Build Project for source code)\u003cspan\u003e \u003c\/span\u003e\u003cem\u003eupdate 9\/3\/2023 (Includes INS, and IMU)\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dropbox.com\/s\/logk21lpwpwtcut\/Obsidian%20Motorsport%20Sensor%20Export%20HW%20Version%202%20%5B01.21.0011%2C%20Version%2041%5D%20Simulator%20%2C%20Test%20Bench.m1pkg-archive?dl=0\"\u003e\u003cstrong\u003eMoTeC M1 INS\/IMU Test Package\u003c\/strong\u003e\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003e(MoTeC M1 Package for INS \/ IMU Testing)\u003cspan\u003e \u003c\/span\u003e\u003cem\u003eupdate 6\/1\/2023\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eHardware Integration:\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.dropbox.com\/s\/5id34ha84h2gkze\/HW8%20INS%20Assembly%20v9.step?dl=0\"\u003e\u003cstrong\u003eINS 3D File Version 2 (.step)\u003c\/strong\u003e\u003c\/a\u003e\u003cstrong\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003cem\u003eupdate 11\/1\/2022\u003c\/em\u003e\u003c\/p\u003e","brand":"Obsidian Group","offers":[{"title":"Default Title","offer_id":45656255758383,"sku":"INSV2","price":5050.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0762\/0411\/3967\/files\/image_213.png?v=1784740207","url":"https:\/\/m-engineering-gmbh.de\/products\/obsidian-group-ins-v2","provider":"M-Engineering Germany GmbH","version":"1.0","type":"link"}