Deep Learning in Automated Tests for the Automotive Industry
摘要
The automotive industry is one of the biggest industries nowadays, representing almost 80% of the projects in Capgemini Engineering Portugal, where this work was developed. In this paper, a new approach for automated tests in this sector is presented, based on the application of Deep Learning (DL) algorithms. Experimental results show that the new solution reduces the frameworks needed for testing, as well as the human interaction, improving the efficiency in HMI testing for the company.