MIDAS - anonyMIsing DAta collection for traffic Safety

Project manager
Cristofer Englund
Period
2020-04-01 - 2023-03-31

Purpose and goal

The MIDAS project aims at solving the problem of anonymity when collecting video data in real traffic environments. MIDAS will develop ML algorithms for replacing faces, license plates and any other recognizable marks with alternative fake instances of those same objects. Once the important or sensitive information has been replaced, video data can be saved for future use while complying with the GDPR guidelines.

Expected results and effects

The project will develop methods that make it possible to save video data in an anonymized way that allows you to save video data without compromising GDPR. The results will facilitate data management during training and development of ML-based algorithms, which are basic technology in, among other things, active safety and automated driving.

Planned approach and implementation

The project is divided into four work packages, project management, data collection, anonymization and demonstrator. Project management and demonstrator is led by RISE, data collection is led by Viscando and anonymization is led by Berge. Berge will hire an industrial doctoral student who is supervised by Halmstad University.

 

Short facts

Project title: MIDAS - anonyMIsing DAta collection for traffic Safety
Project type:
Research area:
Safety performance evaluation
Financier(s):
Period:
-

Safer – Vehicle and Traffic Safety Centre

SAFER is the open research arena where researchers and expertise work together to create safe mobility. Our traffic safety approach covers people, vehicles and the infrastructure – and together we contribute to safer road transports and smarter, more sustainable cities.

Contact information

SAFER

Lindholmspiren 3A
SE-417 56 Göteborg
Sweden

 +46 31-772 21 06
 safer [at] chalmers.se