Dynamic sensor fusion using local topology

Data fusion algorithms exploit multiple, independent sensors to obtain improved estimates of the state of a system. Recent progress in sheaf theory has yielded a general approach for translating data fusion problems into optimization problems. This article demonstrates that solving these optimization problems is practical and results in improved data fusion performance over state-of-the-art methods.