Applying ROBOTest to conduct parallelised HIL-rig testing through the CarMaker simulation platform
Reference number | |
Coordinator | Ainomaly Software AB |
Funding from Vinnova | SEK 200 000 |
Project duration | May 2019 - August 2019 |
Status | Completed |
Important results from the project
The purpose of the project was to prove to the customer that active machine learning can be applied to identify deviations from the spec in complex real-time software.
Expected long term effects
The results have been very well received by the customer and will lead to follow-up projects for Ainomaly with the customer.
Approach and implementation
We are very pleased with the design and cooperation in the implementation of the project.