It looks like a electronics lab inside a car, but it is a better start, auto industry will welcome this step from Nvidia, and important is they have shown the car functioning as self-driving car. Wish you all the best, Nvidia for future.
Self driving car has been a topic for quite sometimes. Google, no doubt, has a great start. It's way ahead of everyone. I assume the team leaded by Sebastian Thurn develop algorithms and run on x86 computer. The algorithm will likely be performance hungry. The demonstration proves the performance of Nvidia ARM. It's a great start for Nvida. Now, question is where is Intel.
All the leading automotive chip vendors -- like Freescale, TI, NXP and ST -- are active in all these areas. However, all of them have already given up on the modem business. They have no 3G, no LTE modem chips.
So, if a car needs to get connected with the outside world, they won't have their own modem chips for connectivity.
In contrast, Nvidia is still in the smartphone, tablet business, and they have their own LTE modem chips. That's the difference right now.
But I don't think that's going to last very long. Qualcomm is catching up right out there!
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.