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Multisensor Selfreferencing 3D-Mapping System (MSM): System Realization with a Robot

Sensor fusion of GNSS, MEMS and Visual Odometry

 

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Seamless Out-Indoor Navigation

The video shows an experimental drive inside and outside of the ETRF89-georeferenced B-building of the Labor for GNSS & Navigation developed seamless out / indoor navigation. After successful testing, the NAVKA algorithms and software were integrated into the NAVKArine-G1MC. They are presently developed for the NAVKArine_G12MC.

 

Flight Control

Flight test of the NAVKA UAV inside buildings.

Flight test of the NAVKA UAV and NAVKA Flight Control in "Hover Mode".
The developments on the hardware, algorithms and software of the NAVKA Flight-Control concern UAV and manned vehicles with free scalability in respect to dimension, propeller-design, sensor-equipment and applications. The video shows the functionality on the NAVKA-UAV, which consists of commercial hardware components.

ZDF-report on e-volo. E-volo’s Volocopter is a revolution in aviation Made in Germany. Safer, simpler, and cleaner than normal helicopters, it has a unique way of moving – a groundbreaking innovation.

Test of the new flight control and navigation-system on a hexacopter. Within the e-volo project the quality of the navigation-system is validated.

Processing of microdrones UAV md4-200 IMU data in a MATLAB Kalman Filter. Sensors: accelerometer, gyroscope, magnetometer, barometer, GPS (u-blox).

 

Indoor-Navigation

Indoor run with a smartphone. The NAVKA algorithms computes the navigation solution with the sensor raw data. The visualisation is done by the software "sphinx" of the company in GmbH.

Indoor run with a smartphone. The NAVKA algorithms computes the navigation solution with the sensor raw data. The visualisation is shown in a MATLAB-application (picture in picture).

Indoor run with a smartphone. The NAVKA algorithms computes the navigation solution with the sensor raw data (tripod). The visualisation is shown in a MATLAB-application.

 

GNSS- and Navigation- algorithms

Sensor fusion of GNSS, MEMS and Visual Odometry

The video shows the mode of operation of the Kalman Height Estimator which was developed within the e-volo/NAVKA project. The used IMU is a teXXmo Robinette.

The Android smartphone raw sensor data is transmitted by the "Wireless IMU" app to a MATLAB Quaternion Kalman Filter via UDP on a WiFi network. The result of the navigation filter is displayed in an OpenGL live preview window.

The Android smartphone raw sensor data is transmitted to a remote computer which runs the NAVKA visualisation software. This software helps users to gain important information.

Presentation of the Robinette GM1 sensor box.

 

General

Overview-Video for the InterGEO 2013 showing the different NAVKA-projects (picture in picture). The ZDF-video (with sound) is embedded in this YouTube-Video, too.