LEARNING
Application of algorithms for object recognition based on deep convolutional neural networks for visual navigation of a mobile robot
Zhanna Pershina, S. Ya. Kazdorf, V. A. Abrosimov
- Year
- 2018
- Citations
- 5
Abstract
In this paper, we present the results of an analysis of state-of-the-art approaches in the field of object recognition in an image based on deep convolutional neural networks. The purpose of the review is to assess the possibility of applying these approaches in solving problems of visual navigation a mobile robot.
Keywords
Computer scienceConvolutional neural networkArtificial intelligenceMobile robotCognitive neuroscience of visual object recognitionComputer visionObject (grammar)Deep learningField (mathematics)Mobile robot navigation
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