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This post is an archive for the Office Hours chat about autonomous cars from Wednesday, April 30 from 1-2pm CDT.
Topics such as advanced driver assistance and its evolution, vehicle-to-vehicle communications, the role of sensors (including sensor fusion), cameras/vision assistance, the use of ultrasound, and much more were discussed today.
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Director, Autonomous Vehicles R&D from TI’s Kilby Labs
This sounds very interesting. I am looking forward to this discussion!
Automotive Applications Team
Dallas, TX USA
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Welcome, everyone, to the Autonomous Vehicle Office Hours! I'm Fernando Mujica, director, Autonomous Vehicles R&D from TI's Kilby Labs and I am excited to answer your questions.
Just hit reply and ask your question now!
In reply to Fernando Mujica:
You mention sensor fusion in your initial post. What is that and why is it important?
What is currently the biggest challenge to be solved in this market segment?
In reply to Alexander Scheuermann:
Thanks for your question! Autonomous vehicles will use cameras, radar, lidars and other sensors to understand the environment around them. This data needs to be fused to make the most reliable decisions.
It seems like quite a few companies other than TI are pretty far down the auto radar path. Do you see TI heading down this road? How do you see spectrum issues and interference being managed?
In reply to Greg Edgar:
From a technology standpoint, driving the cost of all the sensors, interfaces and compute are key. There are other aspects outside of technology, such as legal aspects, that need to be addressed, but we are hopeful that the benefits of the technology will help us resolve those obstacles.
What work is TI doing in thermal IR imaging for automotive use?
In reply to Ben Johnson62141:
Thanks, Ben. TI already has solutions for automotive radar systems. They use 77Ghz as a common frequency for this application. And there are well known techniques to mitigate interference, like coding.
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