Efficient Performance Prediction of End-to-End Autonomous Driving Under Continuous Distribution Shifts Based on Anomaly Detection.
Siyu LuanZonghua GuShaohua WanPublished in: J. Signal Process. Syst. (2023)
Keyphrases
- end to end
- anomaly detection
- intrusion detection
- network intrusion detection
- autonomous driving
- detecting anomalies
- anomalous behavior
- network traffic
- congestion control
- network anomaly detection
- negative selection algorithm
- intrusion detection system
- detect anomalies
- pattern recognition
- stereo vision
- one class support vector machines