Towards Safety Verification of Direct Perception Neural Networks

9 Apr 2019Chih-Hong ChengChung-Hao HuangThomas BrunnerVahid Hashemi

We study the problem of safety verification of direct perception neural networks, which take camera images as inputs and produce high-level features for autonomous vehicles to make control decisions. Formal verification of direct perception neural networks is extremely challenging, as it is difficult to formulate the specification that requires characterizing input conditions, while the number of neurons in such a network can reach millions... (read more)

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