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DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior. (arXiv:2111.09533v2 [cs.LG] UPDATED)
April 6, 2022, 1:12 a.m. | Manzoor Hussain, Nazakat Ali, Jang-Eui Hong
cs.LG updates on arXiv.org arxiv.org
The deep neural networks (DNNs)based autonomous driving systems (ADSs) are
expected to reduce road accidents and improve safety in the transportation
domain as it removes the factor of human error from driving tasks. The DNN
based ADS sometimes may exhibit erroneous or unexpected behaviors due to
unexpected driving conditions which may cause accidents. It is not possible to
generalize the DNN model performance for all driving conditions. Therefore, the
driving conditions that were not considered during the training of the …
arxiv autonomous autonomous driving autonomous driving systems framework systems
More from arxiv.org / cs.LG updates on arXiv.org
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