CLOUDIA - Methods for efficient searching of events in large volumes of data for analysis and development of ADAS

Important results from the project

The project has met those objectives and planned results have been achieved, including: - Development of method for defining events - Upgrading platform for collecting data from vehicles - Test the system´s scalability using simulation - Implement a search function to find specific events in large amounts of data - Demonstrate possibilities of using the research platform for event search In addition to the automotive industry, there are good opportunities to use the results in other industries.

Expected long term effects

- Contribute to streamlining the development of new functions for ADAS - Pionate has the ambition to continue developing the system in cooperation with potential customer companies - Possibilities to further develop the system for the automotive industry, but also use in other industries - Opportunities to use results and knowledge for education at university college (also degree project)

Approach and implementation

The project was divided into four work packages with different project partners as responsible. All parties have been engaged. Some activities (with interdependencies) took longer than planned so the original schedule did not hold. Was adequate with an extension of 11 months. There has been a lot of work logging own data in the project, but it has also provided a lot of value. Veoneer was split into two different companies with new owners. There were a few new conditions, but it has worked well.