An Embodied Multi-Sensor Fusion Approach to Visual Motion Estimation Using Unsupervised Deep Networks

Aimed at improving size, weight, and power (SWaP)-constrained robotic vision-aided state estimation, we describe our unsupervised, deep convolutional-deconvolutional sensor fusion network, Multi-Hypothesis DeepEfference (MHDE). MHDE learns to intelligently combine noisy heterogeneous sensor data to...

Descripción completa

Detalles Bibliográficos
Autores principales: Shamwell, E. Jared, Nothwang, William D., Perlis, Donald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982537/
https://www.ncbi.nlm.nih.gov/pubmed/29734687
http://dx.doi.org/10.3390/s18051427

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982537/
https://www.ncbi.nlm.nih.gov/pubmed/29734687
http://dx.doi.org/10.3390/s18051427

Ejemplares similares