Proj CDeepFuzz Paper Reading: DeepTest: automated testing of deep-neural-network-driven autonomous cars

Abstract

本文: DeepTest
Task: a systematic testing tool for DNN-driven vehicles
Method:

1. generated test cases with real-world changes like rain, fog, lighting conditions, etc.
2. max the number of activated neurons

Github: https://github.com/ARiSE-Lab/deepTest
实验：
dataset: Udacity self-driving car challenge(Rambo, Chauffeur, Epoch)
效果：

1. found thousands of erroneous behaviors under different realistic driving conditions