Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning.
Huimin LuYujie LiShenglin MuDong WangHyoungseop KimSeiichi SerikawaPublished in: IEEE Internet Things J. (2018)
Keyphrases
- anomaly detection
- unmanned aerial vehicles
- reinforcement learning
- intrusion detection
- path planning
- detecting anomalies
- search and rescue
- anomalous behavior
- control system
- network intrusion detection
- unsupervised learning
- intrusion detection system
- network traffic
- control algorithm
- learning algorithm
- network anomaly detection
- dynamic environments
- detect anomalies
- machine learning
- detecting anomalous
- human operators
- learning process
- one class support vector machines
- supervised learning
- transfer learning
- negative selection algorithm