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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...

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Detalhes bibliográficos
Publicado no:Front Neurorobot
Main Authors: Zhang, Feihu, Martinez, Clara Marina, Clarke, Daniel, Cao, Dongpu, Knoll, Alois
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6524408/
https://ncbi.nlm.nih.gov/pubmed/31133839
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2019.00012
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