VCIT – Visually corrected inertial tracking

Publikationstyp:
Konferenzbeitrag
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Abstract
Many 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.
Autoren
DOI
10.18420/in2017_91
ISBN-13
9783885796695
Zeitschrift
Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
Schlüsselwörter
  • IMU
  • Sensor Fusion
  • Sports
  • Visual Interial Tracking
Datum der Veröffentlichung
2017
Datum der Datenerfassung
2021
Titel
VCIT – Visually corrected inertial tracking

Datenquelle: Manual

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