TY - GEN A1 - Köppe, Enrico A1 - Augustin, D. A1 - Köppe, Tabea A1 - Subaric-Leitis, Andreas A1 - Liers, A. A1 - Schiller, J. ED - Gartner, G. ED - Huang, H. T1 - Application of the inertial navigation system 3D-self-calibration-method for the minimization of the measurement uncertainty N2 - For the accuracy of inertial navigation systems for indoor localization it is important to get high quality sensor data of the multi-sensor system. This can be realized using high quality sensors or the developed 3D-self-calibration-method for low cost sensors. Based on the calibration procedure of the accelerometer (ACC) and the magnetic field sensor (MAG), the additional integration of the gyroscope (GYRO) leads to a reduction of the indoor positioning error. This improves both the approximation for the accelerometer, the magnetic field sensor and the gyroscope so that the standard deviation of a single sensor is minimized. There are errors in the whole system. To determine these error sources it is important to define the measurement uncertainty. In this paper it is presented that the measurement uncertainty can be reduced by the application of the developed 3D-self-calibration method. T2 - 11th International Symposium on Location Based Services CY - Vienna, Austria DA - 26.11. 2014 KW - 3D sensor KW - 3D calibration method KW - Indoor localization KW - Measurement uncertainty PY - 2014 SN - 978-3-319-11878-9 DO - https://doi.org/10.1007/978-3-319-11879-6_8 SN - 1863-2246 N1 - Geburtsname von Köppe, Tabea: Wilk, T. - Birth name of Köppe, Tabea: Wilk, T. N1 - Serientitel: Lecture Notes in Geoinformation and Cartography (LNG&C) – Series title: Lecture Notes in Geoinformation and Cartography (LNG&C) SP - 105 EP - 117 PB - Springer AN - OPUS4-32430 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias A1 - Schiller, J.H. A1 - Wiggerich, B. A1 - Manolov, Manol T1 - Micro-drone for the characterization and self-optimizing search of hazardous gaseous substance sources: A new approach to determine wind speed and direction N2 - BAM Federal Institute for Materials Research and Testing, in cooperation with the AirRobot GmbH & Co. KG company, has developed a flying remote-controlled measuring system. The system is capable of operating in a variety of scenarios of gas emissions, e.g. exhaust gas from chimneys, flue gas in a fire, gas emissions in the case of an accident of chemical or hazardous goods or in the case of a terrorist act involving toxic gases. Thus it can measure the gas concentration in the immediate vicinity of the object which causes the emission. A further stage of extension is to enhance the system for plume tracking and identification of sources of hazardous gases. T2 - ROSE 2010 - IEEE International workshop on robotic and sensors environments CY - Phoenix, Arizona, USA DA - 2010-10-15 KW - Autonomous robot KW - UAV KW - Quadrocopter KW - Mobile sensing system KW - Chemical sensing KW - Gas sensors KW - Chemical source localization KW - Plume tracking KW - Anemometric sensor KW - Wind speed and direction PY - 2010 SN - 978-1-4244-7146-1 DO - https://doi.org/10.1109/ROSE.2010.5675265 IS - Session 1 - Intelligent Sensing SP - 1 EP - 6 AN - OPUS4-22189 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -