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VCIT - Visually Corrected inertial Tracking

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dc.contributor.authorAndrés López, Daniel
dc.contributor.authorDiensberg, Benedikt
dc.contributor.authorSchömer, Elmar
dc.contributor.authorSchwanecke, Ulrich
dc.contributor.editorEibl, Maximilian
dc.contributor.editorGaedke, Martin
dc.date.accessioned2017-08-28T23:49:26Z
dc.date.available2017-08-28T23:49:26Z
dc.date.issued2017
dc.description.abstractMany smart systems depend on exact models of their environment. These are gained by tracking objects in their surroundings. When a highly precise system is only available for a small part of the environment, it can be enhanced with a second system to recover the unknown parts. This paper presents a method to recover loss of a precise (optical) tracking system by a less precise (inertial) tracking system. First the rotation from the inertial measurement unit (IMU) and the optical system are aligned. A second step integrates the IMU acceleration two times and removes both times the drift by known initial and end values (first integration: velocity, second integration: position) from optical tracking. The error is backpropagated continuously.en
dc.identifier.doi10.18420/in2017_91
dc.identifier.isbn978-3-88579-669-5
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-275
dc.subjectSports
dc.subjectVisual Interial Tracking
dc.subjectSensor Fusion
dc.subjectIMU
dc.titleVCIT - Visually Corrected inertial Trackingen
gi.citation.endPage906
gi.citation.startPage899
gi.conference.date25.-29. September 2017
gi.conference.locationChemnitz
gi.conference.sessiontitleSENSYBLE – Smart Systems for Better Living Environments

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