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Neural Network Based Uncertainty Prediction for Autonomous Vehicle Application
This paper proposes a framework for uncertainty prediction in complex fusion networks, where signals become available sporadically. Assuming there is no information of the sensor characteristics available, a surrogated model of the sensor uncertainty is yielded directly from data through artificial...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524408/ https://www.ncbi.nlm.nih.gov/pubmed/31133839 http://dx.doi.org/10.3389/fnbot.2019.00012 |