The design of ADAS applications for these companies is really hot!

As a non-new active protection technology, ADAS has received extensive attention in the industry in recent years. I believe many new cars are equipped with this product. But you may not know that in the ADAS market, one company has occupied 90% of the market share with several products. Even the world-famous Tesla is equipped with its system, and its market value is as high as 8.545 billion US dollars. The status of BAT, that is, Mobileye from Israel.

Mobileye was founded in 1999 by Professor Amnon Shashua and Ziv Aviram of the Hebrew University of Israel. Since its inception, Mobileye has defined its corporate mission to develop and promote a vision system to help drivers secure passengers and reduce traffic accidents while driving. It has a research and development center in Israel and branches in the United States, Cyprus, China, Germany and Japan.

Professor Amnon Shashua, one of the founders of Mobileye, is the international authority of computer artificial intelligence, specializing in the development of Computer Vision, which is how to let computers read useful things from images.

The EyeQ vision processing chip was developed by Mobileye and ST (STMicroelectronics, one of the world's largest semiconductor companies). In 2015, Mobileye released the fourth-generation ADAS vision processor EyeQ4, and the related products will be applied in the new off-line models from 2018.

It is worth mentioning that the S-CAM series camera with EyeQ processor produced by TRW. TRW, TRW AutomoTIve Holdings Corp. is the world's leading supplier of automotive safety systems, a pioneer and leader in automotive safety systems, and one of the world's top 10 auto parts suppliers.

The S-Cam2 series has already earned a substantial business share for TRW, while S-CAM 3 (with EyeQ 3) has six times the processing power of the second generation. The S-CAM 3 was first exhibited at the 2013 Frankfurt Motor Show. It also offers a wider vertical horizontal field of view (42° from the previous generation, 27° vertical to 52° horizontal, 39° vertical) and imaging clarity. (752x480 is upgraded to 1280x960). In October 2014, TRW released the latest generation of in-vehicle camera system S-Cam4 series, and the new generation single-lens camera is expected to be put into production in 2018.

Last year the company released the latest fourth-generation system chip EyeQ4. With more than 15 years of expertise in the design and development of computer vision specialty chips, the EyeQ4 chip uses 14 computing cores, 10 of which are special vector accelerators, which greatly enhance the performance of visual processing and data interpretation.

The EyeQ4 series has recently been favored by a world-renowned European car manufacturer, and the related products will be applied to the new off-line models from 2018. The EyeQ4 chip is an important part of the scalable camera system and will not only be used in the collision avoidance system for monocular image processing to meet the European New Car Evaluation Test (NCAP), the National Highway Safety Agency (NHSTA) and other regional regulatory requirements. It will also be used in a three-focus camera structure to achieve some high-end customer needs, such as semi-automatic driving. The EyeQ4 chip is perfectly compatible with radar sensors and scanning beam lasers, giving users a more advanced service experience.

According to relevant sources of Mobileye, this new product can provide strong support for future autonomous driving. They believe that building autonomous driving system with camera as the core component is a very practical Solution, because the camera can not only provide the most abundant Information resources, and the cost of consumption is also the lowest.

In order to make the advanced functions of the application on the self-driving car become products that ordinary people can afford, the basic processor unit can process the image information of multiple cameras at the same time, and can accurately extract the most important data contained in each camera. For example, the location of various different objects and lanes in the surrounding area and the information of available road routes. The first generation of chip product EyeQ1 has been developed since 2004. Now it is the fourth generation of EyeQ4 chip. Mobileye has accumulated a lot of advanced knowledge and valuable experience in computer vision processing, and effectively optimized the chip structure. It only needs to be on the vehicle. By consuming 2 to 3 watts of energy, high-intensity and intensive processing can be performed.

Xilinx is a traditional manufacturer of FPGA (Field-Programmable Gate Array) products and solutions. It has introduced the industry's first integrated dual-core ARM-based Cortex-A9 MPCore on a single chip. Processing system and automotive-grade Zynq-7000 All Programmable System-on-Chip (SoC) platform that closely integrates FPGAs. The platform helps system vendors accelerate development time for advanced driver assistance applications such as surround vision, 3D surround vision, rearview camera, dynamic calibration, pedestrian detection, rear view lane departure warning and blind spot detection. “Although consumers are very fond of ADAS applications, the demand for it is strong and growing, but the speed of ADAS is not as high as it should be due to the huge cost of development and manufacturing. But the main reason is that it is currently large. Most ADAS solutions use multi-chips, designed almost entirely from scratch, and the design results are one-off and cannot be reused, supporting only a single ADAS application.

The Zynq-7000 All Programmable SoC delivers high-intensity real-time processing and parallel processing for a wide range of advanced algorithms for ADAS applications and provides a versatile interface to sensors and vehicle communications backbones. Huang Wenjie, manager of emerging business development for Xilinx Asia Pacific, said in an interview. Huang Wenjie explained that in order to provide ADAS flexibility and facilitate product upgrades, the industry must improve integration, optimize performance, and create a common ADAS optimization platform. To achieve the right size of the underlying components, to ensure support for different applications, and to be able to customize. Because the highly integrated, fully programmable single-chip platform can not only reduce unit cost, increase economies of scale, shorten development cycles, but also change the development of ADAS. The pattern ultimately ensures the popularity of ADAS.

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