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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Detalles Bibliográficos
Autores principales: Zhang, Feihu, Martinez, Clara Marina, Clarke, Daniel, Cao, Dongpu, Knoll, Alois
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Robotics and AI
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

Internet

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

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