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 |
Purpose and goal
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 results and effects
The results have been very well received by the customer and will lead to follow-up projects for Ainomaly with the customer.
Planned approach and implementation
We are very pleased with the design and cooperation in the implementation of the project.