A Neural Network Approach for Building An Obstacle Detection Model by Fusion of Proximity Sensors Data

Proximity sensors are broadly used in mobile robots for obstacle detection. The traditional calibration process of this kind of sensor could be a time-consuming task because it is usually done by identification in a manual and repetitive way. The resulting obstacles detection models are usually nonl...

Descripción completa

Detalles Bibliográficos
Autores principales: Farias, Gonzalo, Fabregas, Ernesto, Peralta, Emmanuel, Vargas, Héctor, Hermosilla, Gabriel, Garcia, Gonzalo, Dormido, Sebastián
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877112/
https://www.ncbi.nlm.nih.gov/pubmed/29495338
http://dx.doi.org/10.3390/s18030683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877112/
https://www.ncbi.nlm.nih.gov/pubmed/29495338
http://dx.doi.org/10.3390/s18030683

Ejemplares similares