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Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

  • Updated Oct 7, 2021
  • Jupyter Notebook

This repository was firstly developed when writing a bachelor's thesis and contributes to the fusion of data from multiple sensors (the perception ones) to get the best information from each sensor. It was implemented as ROS 2 C++ packages and has some python experiments interacting with CARLA, including some plotting results.

  • Updated Apr 5, 2023
  • C++

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