Imagine a device that provides multiple computing subsystems, at least one of which has supercomputer performance, with the highest-end graphics processing unit (GPU), multiple large-size high-resolution displays, and surround sound hi-fi. Audio, integrated 4G connectivity, multi-function control system, voice and touch input, dedicated interconnect bus to help internal subsystem communication, millimeter-level positioning and map accuracy, multiple HD input cameras, and a high-performance operating system.
And although such computing performance far exceeds the level of current ordinary computers, everyone in the future can afford such equipment.
sounds great? In fact, this is the future direction of the car in the short term. This will be the ultimate personal computing device, while the exterior is a beautifully designed car.
At the International Consumer Electronics Show (CES) in Las Vegas last week, if you look at car manufacturers and component suppliers, then everyone will make this impression. Yes, the future of computing lies in mobile technology, but the development of automotive computing seems to take mobile technology to a whole new level.
Looking at the development of automated parking sensors, traffic monitoring systems, and other urban infrastructure IoT, you can see that cars will be the client of smart city networks. This will take network and cloud computing-based computing to a whole new level.
As an observer of the computing device industry for a long time, it is interesting for me that the latest core component technology is entering the car in large quantities and quickly.
At the same time, new automotive technologies are bringing some incredible developments. For example, Ford's latest Sync3 platform is based on the BlackBerry QNX system, but it can project the car platforms of Apple (CarPlay) and Google (Android Auto). The QNX system is still the main platform, but this architecture allows users to get the experience of Apple and Google platforms in Ford's car. This is a smart approach.
Because the price of a car reaches tens of thousands of dollars, it is easy for automakers to integrate many expensive components into the car as opposed to developing stand-alone computing devices.
On the other hand, the development of automobiles has put forward higher requirements for computing technology. At this year's CES, NVIDIA launched the Drive PX2 platform. This is a next-generation car supercomputer based on Tegra processor, focusing on autopilot and ADAS (Advanced Driver Assistance System) technology.
NVIDIA has detailed the integration of multiple cameras, lidars and sensors into autonomous vehicles as a very complex process. This explains why many vendors are still committed to developing computing technology and why real autonomous vehicles are far from us. However, in the short term, developers of autonomous driving can focus on ADAS technology.
At this year's show, Qualcomm released the first in-vehicle infotainment system design and announced its cooperation with Audi. It is worth pointing out that in many car designs, the infotainment system is independent of ADAS/autopilot technology, and there is a clear boundary between the two.
However, this is also a way for contemporary cars to integrate traditional computing technologies. Of course, from a computing technology point of view, this kind of boundary means that multiple computing subsystems need to be run in the car, so the car will have more powerful computing functions.
Since the car is priced at tens of thousands of dollars, it is possible to integrate a variety of expensive components. So if you want to get the most powerful personal computing device, you might want to check out the latest cars.
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