Promising solutions to the mining industry and self-driving cars

University of Oulu has got TUTLI-funding from Business Finland to two research projects aiming to create new business. The Geomet Rolls Breakage Test -project (GRBT) develops a reliable low-cost breakage characterisation test for geometallurgical mapping. LIDAR for Self-Driving Cars -project tries to solve the problem how self-driving cars can see far with fine resolution.

TUTLI (from research to business) is Business Finland´s funding type that aims to create new research-based business.

The mining industry needs a low-cost and reliable breakage characterization test that is capable of testing a large number of samples for geometallurgical modelling. The more samples are tested, the better is the understanding of the orebody variability and lower the design or production risks. The current rock breakage tests available in the market are expensive, laborious and require large samples.

The GRBT uses an instrumented rolls crusher to measure breakage forces and energy applied to rock particles during the breakage process. The new testing method can be up to 50 times faster and uses smaller samples than any other test in the market.

It is known that total public funding to startups developing technologies to self-drivings cars has been more than 2 billion dollars. Still today the problem is how cars are able to identify reliable moving and static objects that are more than 200 m away. The answer can be found from LIDAR (light detection and ranging) technology. It is a method that measures distance to a target by illuminating the target with pulsed laser light and measuring the reflected pulses with a sensor.

Our unique expertise of optics and patented inventions combined with artificial intelligence can be utilized to develop a scanner prototype based on LIDAR technology for self-driving cars.

Since 2012 University of Oulu has got TUTLI-funding to 36 different projects. From them currently ten new startup-companies have been established.

Last updated: 1.3.2019