Semantic Segmentation for Aerial Mapping

Semantic Segmentation for Aerial Mapping

Mobile robots commonly have to traverse rough terrains. One way to find the easiest traversable path is by determining the types of terrains in the environment. The result of this process can be used by the path planning algorithms to find the best traversable path. In this work, we present an appro...

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Bibliographic Details
Main Authors:	Gabriel Martinez-Soltero, Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Series:	Mathematics
Subjects:	mapping semantic segmentation convolutional neural networks unet
Online Access:	https://www.mdpi.com/2227-7390/8/9/1456

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