CollectiveSense
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB |
| Funding from Vinnova | SEK 83 000 |
| Project duration | July 2024 - October 2024 |
| Status | Completed |
| Venture | Cooperation between Sweden och Israel |
| Call | Planning grants for collaborations with small, smart countries; Singapore or Israel |
Important results from the project
CollectiveSense was a 3 month, 100kSEK project between the National University of Singapore, RISE AB and FellowBot AB. RISE has integrated a weather model from NUS into a point cloud quality assessment tool used in the EU ROADVIEW project. Possibilities to improve traffic safety are: Weather conditions, data quality, Vulnerable Road Users and traffic simulation. Discussions continue into Nov-Dec 2024 showing excellent possibilities for further collaboration between Singapore and Sweden.
Expected long term effects
As said, the long term effects revolve around traffic safety. We have identified weather, data quality and simulation for collaboration. RISE and FellowBot reached out to the code developers at the National University of Singapore (NUS) and started with their open source code in our projects. After 2 online presentations we will now involve the professors at NUS for longer and larger projects between NUS-RISE-FellowBot and Singapore Sweden more strategically.
Approach and implementation
Implemented via 2 paths, i) RISE & NUS on LIDAR point cloud quality and RISE-FellowBot on simulated traffic worlds. We had individual & shared interests, after 2 online meetings had a way forward. RISE implemented an idea from NUS. RISE-FellowBot how we would implement weather conditions into FellowBots simulator. The activities were right, the project developed as planned, we were able to stick to the timetable & perform as intended. A deviation was to use the allocated travel money as time.