Safety analysis and verification/validation of MachIne LEarning based systems
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB |
| Funding from Vinnova | SEK 7 230 000 |
| Project duration | September 2023 - November 2026 |
| Status | Ongoing |
| Venture | Transport and mobility services - FFI |
| Call | Transport and mobility services - FFI - spring 2023 |
Purpose and goal
Develop enabling technologies and safety assurance framework for transport services enabled by small autonomous vehicles ("AMR"): transport robots and delivery robots. The main objective of SMILE IV is to transfer vehicular safety practices from SMILEI/II/III into the innovative transportation services facilitated by AMRs, with a special focus on two typical use cases: autonomous transport robots in industrial environments and delivery robots in public spaces.
Expected effects and result
Facilitate the adoption of near future transport and mobility services enabled by connected small autonomous vehicles by: developing safety strategy&architecture for connected AMR services; applying safety assurance process and safety supervisor architecture for timeseries data; developing anomaly detection algorithms for timeseries data; and identify approaches can be taken to create a data management strategy that seamlessly integrates synthetic data generated by simulators with real-world captured data, while ensuring safety compliance throughout the AI lifecycle.
Planned approach and implementation
The project is planned for 39 months (Q3/2023-Q4/2026) with seven inter-correlated work packages and two use cases: Transport robot in factory settings & Delivery robots in public spaces. The project consortium consists of: RISE ( coordinator), Volvo Group, Dynorobotics, Infotiv, and Halmstad University.