AI, Machine Learning, Self Driving Cars, Technology, Data Science.
to implement anomaly detection: Outlier detection can be run on domain-specific features is probably the most straight forward one. For track testing it can make sense to use LSTM (Long Short Term Memory)-based forecasts as a baseline for the normal state. Alternatively, deep learning based