SICS - Safe Interaction, Connectivity and State v2
| Reference number | |
| Coordinator | Volvo Technology AB - Avd 6310, M1:6 |
| Funding from Vinnova | SEK 7 949 571 |
| Project duration | February 2013 - December 2015 |
| Status | Completed |
| Venture | Traffic safety and automated vehicles -FFI |
| Call | 2012-03738-en |
| End-of-project report | 2012-04634eng.pdf (pdf, 521 kB) |
Important results from the project
Significant knowledge in safe visual-manual onboard and off board HMI design and evaluation has been built in terms of test method feasibility, accuracy, and safe HMI design recommendations. SICS provided influence on the development of NHTSA HMI guidelines. Knowledge and expertise were built on the safety related resources required within the Automotive Android Platform. An app approval process that promotes safety was developed. The evaluation results of driver state sensor systems were positive and provided understanding of system performance and limitations.
Expected long term effects
SP1-2 provided findings on the distraction performance testing and acceptance criteria. Test methods were compared and integrated in the product development. Novel solutions were developed to reduce visual distraction. SP3 designed, developed and evaluated a safe connectivity platform. Knowledge on distraction guidelines was transferred to safe app development in collaboration with SP1-2. SP4 evaluated and integrated on-board driver inattention monitoring camera. Eyes on/off road classification algorithms were developed and evaluated for highway driving scenarios.
Approach and implementation
SP1-2 conducted several HMI evaluations with eye tracking and occlusion methods both in simulator and on-road. The test methods were integrated into product development processes. HMI recommendations were made based on test results. SP3 built safety-related resources on the Automotive Grade Android (AGA) platform. 172 students participated to develop apps run on the platform. SP4 collected driver inattention monitoring camera data on-road for sensor evaluation, algorithm development and verification.