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Autonomous Terrain Classification with Co-and Self-Training Approach
Kyohei Otsu
, Masahiro Ono
, Thomas J. Fuchs
, Ian Baldwin
, Takashi Kubota
Research output
:
Contribution to journal
›
Article
›
peer-review
90
Scopus citations
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Keyphrases
Training Approaches
100%
Self-training
100%
Co-training
100%
Terrain Classification
100%
Rover
75%
Training Data
50%
Vibration Data
50%
Vision-based
50%
Labelled Image
50%
Terrain Types
50%
Machine Learning Techniques
25%
Support Vector Machine
25%
Own Experience
25%
Mars
25%
Mechanical Vibration
25%
Sand
25%
Wavelet Features
25%
Physical Experience
25%
Sparse Training
25%
Imagery Data
25%
Surface Operations
25%
Self-supervised Learning
25%
Color-based Features
25%
Vision Data
25%
Planetary Exploration Rover
25%
Planetary Rover
25%
Earth and Planetary Sciences
Machine Learning
100%
Wavelet
100%
Mechanical Vibration
100%
Space Exploration
100%
Support Vector Machine
100%
Self-Supervised Learning
100%
Engineering
Machine Learning Method
100%
Mechanical Vibration
100%
Early Phase
100%
Support Vector Machine
100%
Self-Supervised Learning
100%
Computer Science
Self-Training
100%
Support Vector Machine
33%
Training Data
33%
Training Dataset
33%
Self-Supervised Learning
33%
Machine Learning
33%
Learning System
33%