GOMSF: Graph-Optimization Based Multi-Sensor Fusion for robust UAV Pose estimation

Ruben Mascaro
Ruben Mascaro
Timo Hinzmann
Timo Hinzmann

ICRA, pp. 1421-1428, 2018.

Cited by: 9|Bibtex|Views51
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Achieving accurate, high-rate pose estimates from proprioceptive and/or exteroceptive measurements is the first step in the development of navigation algorithms for agile mobile robots such as Unmanned Aerial Vehicles (UAVs). In this paper, we propose a decoupled Graph-Optimization based Multi-Sensor Fusion approach (GOMSF) that combines ...More

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