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Dive into the research topics where Per Johan Slycke is active.

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Featured researches published by Per Johan Slycke.


workshop on positioning navigation and communication | 2008

Drift-free dynamic height sensor using MEMS IMU aided by MEMS pressure sensor

Makoto Tanigawa; Henk Luinge; Linda Schipper; Per Johan Slycke

We demonstrate a low-cost, low-power, and small form factor solution to drift-free high-resolution vertical positioning by fusing MEMS accelerometers with MEMS barometric altimeter. In this system, the highly responsive but drift-prone aspect of the MEMS accelerometers is stabilized by barometric altimeter and high-fidelity height tracking is achieved. Typical vertical human movements such as walking up or down a staircase can be tracked in real-time with this system. The height tracking performance is benchmarked against a reference system using a tactical-grade IMU and an error analysis is performed.


Smpte Motion Imaging Journal | 2007

Realtime Camera Tracking in the MATRIS Project

Jigna Chandaria; Graham Thomas; Bogumil Bartczak; Reinhard Koch; Mario Becker; Gabriele Bleser; Didier Stricker; Cedric Wohlleber; Michael Felsberg; Fredrik Gustafsson; Jeroen D. Hol; Thomas B. Schön; Johan Skoglund; Per Johan Slycke; S. Smeitz

In order to insert a virtual object into a TV image, the graphics system needs to know precisely how the camera is moving, so that the virtual object can be rendered in the correct place in every frame. Nowadays this can be achieved relatively easily in postproduction, or in a studio equipped with a special tracking system. However, for live shooting on location, or in a studio that is not specially equipped, installing such a system can be difficult or uneconomic. To overcome these limitations, the MATRIS project is developing a real-time system for measuring the movement of a camera. The system uses image analysis to track naturally occurring features in the scene, and data from an inertial sensor. No additional sensors, special markers, or camera mounts are required. This paper gives an overview of the system and presents some results.


Archive | 2009

Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors

Daniel Roetenberg; Henk Luinge; Per Johan Slycke


Archive | 2008

System and a method for motion tracking using a calibration unit

Hendrik J. Luinge; Daniel Roetenberg; Per Johan Slycke


Journal of Real-time Image Processing | 2007

Robust real-time tracking by fusing measurements from inertial and vision sensors

Jeroen D. Hol; Thomas B. Schön; Henk Luinge; Per Johan Slycke; Fredrik Gustafsson


Proceedings of the 21st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2008) | 2008

Augmentation of Low-cost GPS/MEMS INS with UWB Positioning System for Seamless Outdoor/Indoor Positionng

Makoto Tanigawa; Jeroen D. Hol; Fred Dijkstra; Henk Luinge; Per Johan Slycke


Archive | 2010

Use of positioning aiding system for inertial motion capture

Jeroen D. Hol; Freerk Dijkstra; Hendrik J. Luinge; Daniel Roetenberg; Per Johan Slycke


Archive | 2009

Inertial sensor kinematic coupling

Hendrik J. Luinge; Daniel Roetenberg; Per Johan Slycke


Archive | 2010

POSITIONING SYSTEM CALIBRATION

Jeroen D. Hol; Hendrik J. Luinge; Per Johan Slycke


Archive | 2010

Method and A System for Enabling A Wireless Communication Between A Master Unit and A Sensor Unit

Freerk Dijkstra; Per Johan Slycke

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