Nvidia chip next target: Driverless cars

[Guide] Now many cars on the market are equipped with automatic parking systems and blind spot monitoring system used by the NVIDIA chip. Tencent Technology Larry January 8 compiled a few days ago, "Wired" magazine, said the GPU graphics core supplier Nvidia, the new mobile processor can "drive" a very special mobile device-unmanned vehicles. This past weekend, NVIDIA officially unveiled its brand new Tegra K1 mobile processor at the annual CES electronic show in Las Vegas, USA. Tegra K1 is based on the Kepler architecture, which is mainly used in the field of super computers with strong performance, but K1 because of the excellent power control, it is very suitable for mobile terminals such as smartphones, tablets, and of course, unmanned vehicles. Now it seems that the driverless car is still out of reach. But we know that Google (Weibo) has been in the field of painstaking work, it is said that their technology in the actual road test results are very successful, unmanned driving to commercial seems to be around the corner. "In fact, our cars are now integrated into a variety of automation elements, such as navigation control, pedestrian detection systems, automatic parking aids, and blind spot monitoring systems," says Danny Shapiro, director of marketing marketing at Nvidia, Danny Chapillo. In automotive applications, Nvidia is not a novice on the road, some of their previous chips have been adopted by the industry. Danny says the new chips are functionally similar to those of previous chips, at least initially. But the Nvidia ambition is much more than that. To be sure, driverless cars require very sophisticated machine vision engines to detect pedestrians on the road with accuracy. Let us cite an example a person is like an unmanned car, when people's visual capture of pedestrians on the road, the visual system will immediately tell the brain, and then, trillions of brain cells will be in order to carry out their respective tasks, so as to safely and promptly avoid pedestrians on the road. The super chip that Nvidia is developing is just like the human brain, but it becomes the processor core of the chip's internal integration when it orders. At the same time, Nvidia will also provide a set of programming tools to allow car vendors to develop a range of applications for the chip. Danny said that many of the cars on the market now equipped with automatic parking aids and blind spot monitoring system is the use of Nvidia's professional chip and supporting software. Now, with the birth of Tegra K1, NVIDIA plans to develop a common vehicle software tool. The K1 processor includes two versions--32 bits and 64 bits--which is also the first mobile 64-bit processor of the Nvidia version. At present, the Nvidia Kepler chip built 2,880 flow processor core, K1 only 192. But Danny says: "It's enough for automotive applications and smartphones." "K1 is expected to take the lead in the first quarter of this year to be used in tablets and smartphones, and car versions of K1 need some time, because the car industry's threshold is more demanding, "Danny added. Driverless cars are heading for us, and perhaps it is time for us to wait until the driverless cars arrive at the moment when the Nvidia chip is "in" driverless cars.