ARAD: Automated and Real-Time Anomaly Detection in Sensors of Autonomous Vehicles Through a Lightweight Supervised Learning Approach.
Athena AbdiArash Ghasemi-TabarPublished in: IEEE Access (2024)
Keyphrases
- lightweight
- anomaly detection
- autonomous vehicles
- real time
- supervised learning
- unsupervised learning
- intrusion detection
- path planning
- obstacle avoidance
- anomalous behavior
- network traffic
- network intrusion detection
- detecting anomalies
- multiagent systems
- intrusion detection system
- structured environments
- rfid tags
- negative selection algorithm
- robot control
- network security
- one class support vector machines
- reinforcement learning
- autonomous agents
- expectation maximization
- detect anomalies
- mobile robot
- network anomaly detection
- low cost
- computational intelligence
- semi supervised
- association rules
- pattern recognition
- learning algorithm