Abstract
The feature-based vSLAM (Visual Simultaneous Localization and Mapping) builds a map of an environment and locates itself simultaneously through the detection of features that stand out in it. The objective of this research is to develop a descriptor that uses the information inferred from a semantic segmentation neural network. This descriptor, despite having a higher computational cost, …