Dynamic sensor fusion using local topology
| Autor: | Janelle Henrich, Michael Robinson, Peter Zulch, Chris Capraro |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Optimization problem
Computer science 010102 general mathematics Doppler radar 020206 networking & telecommunications 02 engineering and technology computer.software_genre Sensor fusion 01 natural sciences law.invention Data modeling law 0202 electrical engineering electronic engineering information engineering Sheaf State (computer science) 0101 mathematics Algorithm computer Data integration |
| Zdroj: | 2018 IEEE Aerospace Conference. |
| DOI: | 10.1109/aero.2018.8396546 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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