Misbehaviour prediction for autonomous driving systems

Andrea Stocco, Michael Weiss, Marco Calzana, Paolo Tonella

Abstract

Deep Neural Networks (DNNs) are the core component of modern autonomous driving systems. To date, it is still unrealistic that a DNN will generalize correctly to all driving conditions. Current testing techniques consist of offline solutions that identify adversarial or corner cases for improving the training phase.

BibTeX

@inproceedings{Stocco-al:ICSE20,
  author    = {Andrea Stocco and
               Michael Weiss and
               Marco Calzana and
               Paolo Tonella},
  title     = {Misbehaviour prediction for autonomous driving systems},
  booktitle = {ICSE},
  pages     = {359--371},
  publisher = {{ACM}},
  year      = {2020},
}

Misbehaviour prediction for autonomous driving systems

Abstract

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