Interview with Sonia, Research and Development Engineer
1 February 2017
In this interview, get to know Sonia and learn more about career possibilities with AUSY.
Can you please tell us about your job?
I am a research and development engineer specialising in data and image processing at Valéo. I am part of the software team in the Driving Assistance Research department.
What project are you currently working on?
I’m working on algorithm development for object fusion in self-driving cars. Data fusion combines outputs from different sensors in order to put together information that is more complete and reliable. I also monitor technological developments on fusion methods.
What satisfaction do you find in working on tomorrow's new challenges, specifically the self-driving car?
Working in this kind of environment satisfies my curiosity about innovative technologies, and it allows me to participate in a project that will directly impact tomorrow’s world.
We can ask ourselves questions about how self-driving car technology will evolve in the future. How will following generations be able to use it, what will be its purposes? Who will be the main users? How will current infrastructure convert and adapt to this new concept? What will be the impact on the environment? Of course, I am not working on these exact themes, but being part of this adventure invites us to ask ourselves these questions more deeply, between team members or with people around us who are interested by this topic.
More technical questions, including those at my level, can be asked as well: how can we approve the use of a potentially risky tool? What tests need to be done, and will they be enough?
No one can be indifferent to such a new technology. Working on this lets us to be up to date on what can be done. New and original ideas are encouraged. It’s very satisfying to say that we are doing something still a bit unimaginable, and that it’s even possible to add your own contribution to it.
Working in automobiles in general is stimulating because the environment allows us to directly test our algorithms on prototype cars. Thus, we have concrete insight on what we do. We can go beyond simple simulations and the intangible world of computing. This hands-on aspect is very enjoyable.