Misbehaviour Prediction for Autonomous Driving Systems

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 th...

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Bibliographic Details

Published in:	2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE) pp. 359 - 371
Main Authors:	Stocco, Andrea, Weiss, Michael, Calzana, Marco, Tonella, Paolo
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.10.2020
Subjects:	anomaly detection deep learning misbehaviour prediction testing
ISSN:	1558-1225
Online Access:	Get full text
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