Important results from the project
The project achieved its objective and strengthened AstaZero´s competence in big data and AI for scenario-based testing of AD/ADAS. The visit provided important contacts and in-depth collaboration with VTTI, creating opportunities for future joint project. Increased visibility via coordinated media campaign between Virginia Tech and RISE, as well as new networks contributed to more ideas around AI-driven analysis and development of advanced test methods.
Expected long term effects
The project is expected to have long-term effects through stronger international networks and continued collaboration with VTTI. The new expertise in AI and data analysis strengthens AstaZero´s work with scenario-based testing and contributes to the development of more advanced methods for safe and automated mobility in the future.
Approach and implementation
The project was implemented as planned with a research exchange at VTTI. The activities were the right choice and provided in-depth expertise in large data sets linked to naturalistic driving and scenario-based testing of automated vehicles. The schedule was kept and the collaboration worked very well without major external obstacles. The project developed as intended and strengthened the long-term collaboration between the organisations.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.
