How does smart data make my day?Finding and enabling new use cases for sensors.
Next MQ! Innovation Summit|November 8-9, 2018
The workspace of Daniel Martschei and Matthias Fuchs dealt with making it possible to use the everyday data collected by cars. The two data scientists are working on a relevant project at Audi Electronics Venture GmbH (AEV).
Hello Daniel. Hello Matthias.
In your workspace the focus was on the utility of everyday data collected in cars. Could you explain that in greater detail?
The goal in our current project at AEV is to develop new application areas for the data collected by our cars. A modern car is sort of a driving sensor network – it continuously measures the data from itself, its passengers and its environment. If you feed it into an IT center in the cloud and analyze it intelligently, you can generate very interesting use cases.
For example, an Audi determines values like exterior temperature, rainfall, or the composition of air. For this, it uses the sensors of the climate control unit, the engine control unit, and the windshield wipers. These data can be extremely valuable to, for example, weather services. Another suggestion was made in our workspace: You could analyze how much pollen from outside air is in the pollen filter and create a detailed map of allergen load from this for allergy sufferers.
Another participant worked at the Munich Airport. Her suggestion was to use the cars’ cameras, which can see a section of the sky, to detect incoming storm cells. Or a third idea: We could use the car as a smoke detector for fires that might break out in a parking or home garage.
It sounds like your workspace went pretty productively.
Before the MQ! I was eager to find out how familiar the participants already were with topics like ours. In all three rounds it turned out that the people came from very different areas but consistently had very valuable ideas. They all had professional experience; most of them had several years.
Our guest speaker was Raphaël Gindrat from Switzerland, who co-founded the company BestMile. It guides small self-driving buses in some cities via a backend so that they travel as efficiently as possible. These fleets could surely benefit from the information we would be able to give them. Gindrat’s lecture showed the participants that our topic has high relevance for application.
Are you working with him at AEV on advanced engineering projects as well?
Networking externally, the best-practice principle – that is routine for us. We often work with specialists who do not come from the automotive industry, but rather have gained experience at banks, insurance or IT companies. They bring a new, broad perspective with them that helps us a lot. At AEV we are generally interested in very many topics. These range from artificial intelligence to the first approaches to quantum computing, which in the future could also be interesting for us.
Getting back to data: What other use cases are there?
Another starting point is our component development: With our data, we can help ensure that the components are developed and produced for cars so that they meet needs and are user-friendly.
In some regions of the world there are poor roads for which special tuning and absorbers are needed or where certain rims cannot be offered. If you can check the behavior of the cars using fleet data, in the future you won’t have to drive these routes yourself. And it might even turn out that the cars primarily are operated in the cities where the streets are better. Then we might be able to introduce stylish rims in these markets after all.
How did the both of you find the MQ! experience? What was your highlight?
We got a lot of interesting inspiration. And Audi benefited from the MQ! in that the external perception changes – from being a pure automotive manufacturer to a company in which IT is playing an increasingly important role – a young, open company.
I found the keynote addresses at the MQ! very interesting. But the most exciting aspect was conducting our own workspace.
My personal highlight was the list of speakers with Steve Wozniak and Mo Gawdat. I would never have thought that such personalities would come to Ingolstadt and appear in a setting like the MQ! summit.
Data Scientist, Audi Electronics Venture GmbH
Dr. Daniel Martschei works as a data scientist for Audi Electronics Venture. There he is shaping the future of mobility. He told us how data is collected today, where it goes and who benefits from it.
CEO and Co-Founder, BestMile
Raphaël Gindrat tackles urban mobility challenges with BestMile, the first platform allowing for the intelligent operation and optimization of autonomous mobility services. He guided us through finding out how transport will work in 2025.
Software Developer, Audi Electronics Venture GmbH
Markus Bayerlein works as a software developer for Audi Electronics Venture. There he is shaping the future of mobility. He shared valuable insights on data analysis.
Software Developer, Audi Electronics Venture GmbH
Matthias Fuchs works as a software developer for Audi Electronics Venture. There he is shaping the future of mobility. He shared valuable insights on data analysis.