Enabling Robot Selective Trained Deep Neural Networks for Object Detection Through Intelligent Infrastructure.
Christian PossThomas IrrenhauserMarco PrueglmeierDaniel GoehringFiras ZoghlamiVahid SalehiOlimjon IbragimovPublished in: CACRE (2019)
Keyphrases
- object detection
- neural network
- multilayer perceptron
- trained neural networks
- service robots
- auto associative
- training process
- mobile robot
- multi layer perceptron
- discriminatively trained
- artificial neural networks
- trained neural network
- neural networks and genetic algorithms
- human robot interaction
- vision system
- scene understanding
- learning capabilities
- smarter planet
- back propagation
- training set
- intelligent systems
- face detection
- backpropagation algorithm
- fuzzy logic
- autonomous robots
- path planning
- multi class
- robot navigation
- robotic systems
- genetic algorithm
- robot manipulators
- multilayer neural network
- associative memory
- pattern recognition
- robot control
- fuzzy systems
- computer vision
- training data
- object recognition
- hybrid intelligent systems
- background subtraction
- rule extraction
- neural network model
- recurrent neural networks
- object categories
- position and orientation
- multi layer
- feed forward neural networks
- feed forward
- self organizing maps
- neural learning
- control signals
- computational intelligence
- real time