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
- 发表年份
- 2018
- 引用次数
- 5
摘要
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.
关键词
Computer scienceConvolutional neural networkArtificial intelligenceMobile robotCognitive neuroscience of visual object recognitionComputer visionObject (grammar)Deep learningField (mathematics)Mobile robot navigation
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002