• Classification of Driving Behaviour using Short-term and Long-term Summaries of Sensor Data 

      Savelonas M., Karkanis S., Spyrou E. (2020)
      The classification of driving behaviour is important for monitoring driving risk and fuel efficiency, as well as for adaptive driving assistance and car insurance industry. Starting from raw measurements of acceleration ...
    • An Image-Based Approach for Classification of Driving Behaviour Using CNNs 

      Spyrou E., Vernikos I., Savelonas M., Karkanis S. (2021)
      In this work we present an approach for the classification of driving behaviour using Convolutional Neural Networks (CNNs), based on measurements that have been obtained by the internal CAN-bus of the vehicle. As is the ...
    • RNNs for Classification of Driving Behaviour 

      Mantzekis D., Savelonas M., Karkanis S., Spyrou E. (2019)
      Recurrent neural networks are an obvious choice for driving behavior analysis by means of time series of measurements, obtained either from telematics or mobile phone sensors. This work investigates such an application, ...