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VCIT - Visually Corrected inertial Tracking

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2017

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Gesellschaft für Informatik, Bonn

Zusammenfassung

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.

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Andrés López, Daniel; Diensberg, Benedikt; Schömer, Elmar; Schwanecke, Ulrich (2017): VCIT - Visually Corrected inertial Tracking. INFORMATIK 2017. DOI: 10.18420/in2017_91. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-669-5. pp. 899-906. SENSYBLE – Smart Systems for Better Living Environments. Chemnitz. 25.-29. September 2017

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