Self-calibrating multi-sensor fusion with probabilistic measurement validation for seamless sensor switching on a UAV

Abstract

Fusing data from multiple sensors on-board a mobile platform can significantly augment its state estimation abilities and enable autonomous traversals of different domains by adapting to changing signal availabilities. However, due to the need for accurate calibration and initialization of the sensor ensemble as well as coping with erroneous measurements… (More)
DOI: 10.1109/ICRA.2016.7487626

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Cite this paper

@article{Hausman2016SelfcalibratingMF, title={Self-calibrating multi-sensor fusion with probabilistic measurement validation for seamless sensor switching on a UAV}, author={Karol Hausman and Stephan Weiss and Roland Brockers and Larry H. Matthies and Gaurav S. Sukhatme}, journal={2016 IEEE International Conference on Robotics and Automation (ICRA)}, year={2016}, pages={4289-4296} }