Virtual test drivers are becoming a paramount automatic verification tool enabling car makers to test new and advanced vehicle functionalities in a standardized, repeatable, high-quality, and cost-saving way. In this letter, we use modern machine-learning methodologies to build a virtual driver able to test the hill-descent control, one of the driver assistance systems equipping modern cars. The experimental results show that our virtual driver performs as a human driver involved in the same test conditions.
Pallacci T., Mimmo N., Sessa P., Rabbeni R. (2024). A Deep-Learning Model of Virtual Test Drivers. IEEE CONTROL SYSTEMS LETTERS, 8, 1150-1155 [10.1109/LCSYS.2024.3408229].
A Deep-Learning Model of Virtual Test Drivers
Mimmo N.
;
2024
Abstract
Virtual test drivers are becoming a paramount automatic verification tool enabling car makers to test new and advanced vehicle functionalities in a standardized, repeatable, high-quality, and cost-saving way. In this letter, we use modern machine-learning methodologies to build a virtual driver able to test the hill-descent control, one of the driver assistance systems equipping modern cars. The experimental results show that our virtual driver performs as a human driver involved in the same test conditions.| File | Dimensione | Formato | |
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A_Deep-Learning_Model_of_Virtual_Test_Drivers.pdf
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