Version 1
: Received: 8 January 2018 / Approved: 9 January 2018 / Online: 9 January 2018 (07:47:45 CET)
How to cite:
García, J.; Molina, J.M.; Trincado, J. A Methodology for Design and Analysis of Sensor Fusion with Real Data in UAV Platforms. Preprints2018, 2018010077 (doi: 10.20944/preprints201801.0077.v1).
García, J.; Molina, J.M.; Trincado, J. A Methodology for Design and Analysis of Sensor Fusion with Real Data in UAV Platforms. Preprints 2018, 2018010077 (doi: 10.20944/preprints201801.0077.v1).
Cite as:
García, J.; Molina, J.M.; Trincado, J. A Methodology for Design and Analysis of Sensor Fusion with Real Data in UAV Platforms. Preprints2018, 2018010077 (doi: 10.20944/preprints201801.0077.v1).
García, J.; Molina, J.M.; Trincado, J. A Methodology for Design and Analysis of Sensor Fusion with Real Data in UAV Platforms. Preprints 2018, 2018010077 (doi: 10.20944/preprints201801.0077.v1).
Abstract
This paper presents a methodology to design sensor fusion parameters using real performance indicators of navigation in UAVs based on PixHawk flight controller and peripherals. This methodology and the selected performance indicators allows to find the best parameters for the fusion system of a determined configuration of sensors and a predefined real mission. The selected real platform is described with stress on available sensors and data processing software, and the experimental methodology is proposed to characterize sensor data fusion output and determine the best choice of parameters using quality measurements of tracking output with performance metrics not requiring ground truth.
Subject Areas
UAVs sensor fusion; EKF; real data analysis; system design
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Jesús García