Supervised learning study on ground classification and state recognition of agricultural robots based on multi-source vibration data fusion.
Jianbo GuoShuai WangYiwei MaoGuoqiang WangGuohua WuYewei WuZhengbin LiuPublished in: Comput. Electron. Agric. (2024)
Keyphrases
- data fusion
- multi source
- supervised learning
- information fusion
- multi sensor
- feature extraction
- pattern recognition
- fusion process
- soft clustering
- fusion algorithm
- multi sensor data fusion
- machine learning
- decision level
- automatic recognition
- multiple sensors
- data sources
- fusion method
- mobile robot
- situation assessment
- training set
- training data
- image fusion
- active learning
- source selection
- community detection
- learning algorithm