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The development of smart cars continues to heat up, not only attracting network operators and well-known car dealers to compete for this pie. Semiconductor companies are also optimistic about the increasing demand for automotive components in applications such as ADAS, car entertainment and car networking, and expand the product. deploy.
Deep learning / artificial intelligence blessing smart car more smart
ADAS is the primary key to moving towards smart cars. To accelerate the development of autonomous vehicles, NVIDIA announced the launch of its first in-vehicle artificial intelligence engine, the DRIVE PX 2 (Figure 1), which uses NVIDIA's advanced graphics processing unit (GPU) to handle deep learning functions to master the car. Around 360 degrees, accurately determine the location of the car, and calculate a safe and comfortable route, allowing the car manufacturer to use artificial intelligence to deal with the complex situations faced by autonomous driving. This platform is expected to be available in the fourth quarter of 2016. 
Figure 1 DRIVE PX 2 accurately determines where the car is located and uses artificial intelligence to handle the complex situations that autopilot faces.
NVIDIA co-founder and CEO Huang Renxun said that NVIDIA's GPUs play a key role in deep learning and supercomputing evolution. The company uses them to build the brain of future autonomous vehicles, so that they can monitor and monitor at any time, eventually surpassing humans. Situational awareness.
In the future, autonomous vehicles will bring higher security, new and convenient mobile services, and even a beautiful urban design.
The DRIVE PX 2 combines two next-generation Tegra processors and two independent Pascal-based next-generation GPUs to provide up to 24 megabits of deep learning per second. Its specially designed instruction set accelerates the use of deep learning network interfaces. The mathematical algorithm is ten times more efficient than the previous generation.
This powerful deep learning capability allows the DRIVE PX 2 to quickly learn how to identify the challenges that often arise in everyday driving, such as road debris, off-track driving, and construction areas. Deep learning can also identify situations that traditional computer vision technology cannot cope with, especially in harsh weather such as heavy rain, snow and fog, and even poor lighting conditions such as sunrise, sunset and darkness.
At the same time, the DRIVE PX 2 can process the input data of twelve video cameras, optical, radar, and ultrasonic sensors, and combine them to accurately detect objects, identify and determine the position of the car relative to the surrounding. Then calculate the best path for safe driving.
This complex computing effort is performed via NVIDIA DriveWorks. DriveWorks combines a wide range of software tools, libraries and modules to support all autonomous driving pipelines, from object detection, sorting and segmentation, to map positioning and path planning, enabling operators to quickly develop and test a variety of autonomous driving. The vehicle; and sensor calibration, data acquisition, synchronization, recording, and processing multiple sensor data streams through complex algorithm threads running on all DRIVE PX 2 dedicated and general purpose processors.
In addition, in terms of general-purpose floating-point operations, the DRIVE PX 2's multi-precision GPU architecture can achieve 8 megabits per second of computing speed, which is more than four times higher than the previous generation.
This allows partners to handle a wide range of autonomous driving algorithms, including sensor fusion, fine positioning and path planning, while providing high-precision calculations when multiple levels of deep learning networks are required.
MIPS IP boosts autopilot performance
In addition to NVIDIA, Imagination is also actively deploying the ADAS market and exhibiting a variety of automotive products developed in partnership with partners such as Mobileye, Renesas, Luxoft, and Rightware at the 2016 International Consumer Electronics Show (CES).
It is reported that most of the currently installed ADAS systems use Imagination's MIPS IP; including the leading automotive chipmaker Mobileye's solution - MIPS-based SoC; and Mobileye released the latest EyeQ4 chip in early 2016. Imagination's MIPS multi-core architecture, MIPS I-class multi-threading technology and M-class efficiency advantages, can achieve excellent performance with ultra-low power consumption, suitable for ADAS applications such as collision detection and dodge. Computer vision processing.
Elchanan Rushinek, senior vice president of Mobileye Engineering, said that Imagination's MIPS CPU support enables ultra-efficient real-time processing and control; while MIPS IO Coherence Unit (IOCU) features such as ADAS need to be managed by CPU and consistency. The application of multiple accelerators offers significant differentiation advantages. Imagination's multi-thread MIPS CPU has helped the company achieve significant performance gains with each generation of EyeQ SoCs.
In addition to the MIPS IP mentioned above, Imagination's PowerVR GPU technology is also used by leading automotive chipmakers such as Renesas and Texas Instruments to develop dashboards and infotainment solutions. Renesas recently announced the new R-Car H3 SoC, which has a high-end PowerVR GX6650 GPU with 192 ALU cores and supports hardware virtualization technology that meets top specifications to improve cognitive computing. Human Machine Interface (HMI) computing capabilities can be used to develop advanced driving support systems and in-vehicle infotainment (IVI) systems.
Masahiro Suzuki, vice president of Renesas and head of the automotive information systems business unit, pointed out that because of the large increase in the amount of external data transmitted by today's IVI systems, HMI (Human-machine Interface) computing functions are needed to handle these huge amounts of data instantly and correctly. The PowerVR GX6650 is the R-Car H3's 3D graphics engine, which has nearly three times the shader processing power compared to the R-Car H2, providing reliable information for driving at the right time for advanced applications and richness. HMI.
Imagination CEO Hossein Yassaie revealed that the automotive industry is currently facing an important turning point. ADAS and driverless cars are driving the growth of automotive electronics in a variety of areas, including dashboards, infotainment systems, and smart cameras.
Imagination is driving the advancement of automotive applications with a wide range of solutions. It includes a scalable PowerVR GPU that supports hardware virtualization technology for reliability and high-performance processing for computing and vision applications, and a MIPS CPU core with multi-threading for instant computing and efficiency And hardware virtualization with security and reliability; and Ensigma's global solution for multi-standard radio and connectivity technologies.
Qualcomm processor offers a significant increase in car networking capabilities
In addition to the attention of ADAS, the Internet of Vehicles is also a battleground. For example, Qualcomm's subsidiary Qualcomm Technology facilitates the recent launch of the Snapdragon 820A series of automotive processors (Figure 2), supporting LTE-Advanced networking functions, through soft Hardware updates enable upgradeable in-vehicle infotainment systems to easily keep up with the latest technology. 
Figure 2 Snapdragon 820A series car processor supports LTE-Advanced networking, and upgrades the car infotainment system through software and hardware updates.
Patrick Little, senior vice president and general manager of Qualcomm's automotive business, said that the automotive industry has long hoped to have a flexible solution that creates a rich user experience and takes into account the consumer's accustomed to personal mobile devices. Networking and upgrade features, including instant cloud networking and navigation, immersive 4K image and image display, hardware and software upgrade flexibility, deep learning and remote diagnostic capabilities, to create the next generation of automotive safety performance. The Snapdragon 820A automotive platform meets these needs.
It is understood that the 820Am version of the Snapdragon 820A series has built-in X12 LTE data machine and 4G LTE Advanced Pro function, supporting downlink rate up to 600Mbit/s, uplink rate up to 150Mbit/s, uninterrupted in-vehicle and cellular networking. High-definition movie streaming in the car, Wi-Fi hotspot function of 802.11ac 2x2 MIMO, connecting multiple mobile devices in the car, and 802.11p dedicated short-range communication (DSRC) for V2X. Part of the network in the car supports content sharing between the in-vehicle mobile device and the in-vehicle infotainment system via Bluetooth.
In addition, the Snapdragon 820A has built-in sensors with cognitive awareness and vehicle self-diagnosis, support for ADAS functions to improve vehicle safety systems, and positioning and navigation services through GNSS and dead reckoning. The product incorporates advanced photographic and sensing processing capabilities to support critical 24/7 alert and emergency services, extending standard camera functionality to smart cameras, and using a panoramic camera lens to support the parking assisted edge line of sight.
Ericsson/AT&T teamed up to enhance the car networking experience. Ericsson is also working with telecom operator AT&T to develop new automotive Wi-Fi solutions and will continue to support the AT&T Drive platform to help consumers easily manage Wi-Fi inside the car. Link function. Glenn Laxdal, Ericsson's North American technology and strategy leader, said that as the network-based society continues to grow, the company will continue to expand its partnership with the AT&T Drive platform and provide more power to AT&T's new online Wi-Fi portal.
Through Ericsson's solution, consumers can launch a free Wi-Fi hotspot trial, and further purchase a data session for the car to manage their Wi-Fi account from within the car. In addition, automakers can use wireless links for software update transfers and download advanced downloadable engine configurations. For consumers, this means that even after years of buying connected cars, new features can be added to the car networking service to enhance the driving experience. Chris Penrose, senior vice president of the Internet of Things at AT&T Mobility, pointed out that AT&T and Ericsson have partnered to provide car owners with the ability to access and manage 4G LTE Wi-Fi hotspot accounts. This is another important milestone in the strategic partnership between the two parties. In the future, the two sides will continue to break through innovation and create a next-generation connected car experience for consumers.
Develop a new generation of products/technologies in the smart car market
In response to the development trend of smart cars, STMicroelectronics has also rushed into the smart car market at full speed, and has continuously introduced advanced smart driving solutions, such as the development of automotive-to-object (V2X) chipsets in cooperation with Israeli company Autotalks. The chipset integrates a baseband processor, a main microcontroller (MCU), a secure microcontroller and V2X communication technology to analyze surrounding vehicles and road conditions using GPS satellite positioning data and 801.11p Wi-Fi wireless network technology for autonomous driving. Automotive technology opens up a whole new range of possible applications.
In addition, the company will also introduce a high dynamic range car CMOS camera module, which has the highest signal-to-noise ratio in its class in low-light environments. The target application is to detect pedestrians, obstacles, traffic signs and The visual driving system of the driveway.
At the same time, as a major supplier of automotive MEMS technology, ST will introduce a variety of automotive MEMS sensors, including three-axis accelerometers for automotive emergency call systems, single-axis/double for airbags. Axis accelerometers, as well as six-axis sensor modules (three-axis accelerometers and three-axis gyroscopes) and positioning chip integration schemes, can assist car navigation through dead reckoning techniques when GNSS data is not available. For the safety of the Internet of Vehicles, the company provides a vehicle-safe microcontroller that complies with the Trusted Platform Module (TPM) 2.0 data security specification, enabling the automotive network interface to achieve the highest level of security at the physical layer.
On the other hand, Qualcomm's subsidiary Qualcomm Technology has further expanded its automotive technology product portfolio to support real-time innovation in all segments of the automotive industry.
Related technologies cover telematics systems and networking high-integration solutions, high-resolution image and multimedia technologies for rich infotainment systems, machine intelligence and sensor hybrid technology for advanced driver assistance systems, and GNSS positioning technology V2X communication for safety and driving convenience, and wireless charging technology for electric vehicles.
Patrick Little, senior vice president and general manager of Qualcomm Technologies Automotive, said that Qualcomm technology has been immersed in the field of automotive technology for a long time, providing customers with complete solutions in a wide range of fields, including telematics, networking, multimedia, positioning, Computing, machine learning, imaging, security and control. This diverse portfolio of technology enables the company to offer a highly integrated and scalable platform for information entertainment, telematics, networking, GNSS, machine intelligence, V2X communications and wireless electric vehicle charging.
It is reported that Qualcomm Technology's acquisition of Cambridge Silicon Radio Limited (CSR) adds more technical assets to Qualcomm's automotive portfolio, and its integrated automotive solutions portfolio includes: Qualcomm Snapdragon 820A/Snapdragon 602A processor; Snapdragon X12 LTE /Snapdragon X5 LTE modem; VIVE 802.11ac technology (QCA65x4 Wi-Fi); Atlas infotainment system single chip; tuneX chip; Halo electric car wireless charging; and independent vehicle-grade GNSS and Bluetooth/WiFi combination products.
By providing a stable system and complete software support, Qualcomm's highly integrated system single-chip platform reduces bill of materials costs, reduces time to market, and reduces OEM system overall system risk.
Wisdom car "money" Jingkuo semiconductor merchants have a lot of money
Smart car business opportunities are tempting. According to market research firm Gartner, there will be more than 25 million connected cars in the world in 2020; 80% of new cars in mature markets will have data connections, and 30% of connected vehicles will Built-in functional level over-the-air (OTA) software upgrades.
Obviously, with the spread of smart cars, various automotive electronic components are more valued by the industry, such as sensors, MCUs and various wireless communications, and the demand will increase significantly. In order to grab a larger map of smart cars, the family continues to develop new products for application needs such as ADAS, in-vehicle infotainment systems, and car networking, and the arms race between manufacturers will become even more intense.