From Neuron Coverage to Steering Angle: Testing Autonomous Vehicles Effectively
| Autor: | M S Raunak, David Binkley, Jack R Toohey |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Artificial neural network Computer science business.industry Steering angle Deep learning Black box Computer Science::Neural and Evolutionary Computation Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing) Computer vision Artificial intelligence business |
| Zdroj: | Computer. 54:77-85 |
| ISSN: | 1558-0814 0018-9162 |
| DOI: | 10.1109/mc.2021.3079921 |
| Popis: | A deep neural network (DNN)-based system is a black box of complex interactions, resulting in a classification or prediction. We investigate the use of realistic transformations to create new images for testing a trained autonomous vehicle DNN as well as their impact on neuron coverage. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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