Automotive networking will spawn a huge demand for components

Date: 2017-10-31
Views: 73


According to Luca De Ambroggi, principal analyst for automotive electronics at IHS Markit, a high-end car will carry more than $ 6,000 worth of automotive electronics components in the next five years and will generate $ 160 billion in the automotive electronics market by 2022.

It is expected that all car-related automotive electronics products will undergo tremendous changes. According to IHS forecasts, the automotive semiconductor market will grow by more than 7% by 2022, surpassing the growth rate of about 4.5% of the overall automotive electronics system in the same period and the growth rate of about 2.4% in car sales. According to De Ambroggi, this is mainly because the automotive semiconductor market adds significant software value.

In response to the ever-increasing complexity and data sharing, automakers are working to adopt more advanced networking technologies to replace standard planar architectures based on the Control Area Network (CAN) bus. De Ambroggi said: "All electronic systems need to meet strong safety standards."

De Ambroggi said: "Artificial Intelligence (AI) will enable fully autonomous (level 5) vehicles to replace human piloting, but it will take more time to meet performance, safety and cost requirements, The chip technology is not yet in place. "

Just because the car market itself may not be large enough to support the development costs associated with the technology, there is still a need for more universal semiconductor components that can be customized for the automotive market.

On-board AI systems must also have capabilities beyond their identification so that they can use a variety of information to predict behavior. Even the relatively mature chip-level speech recognition technology, which has been developed in the field of in-car entertainment, must be significantly improved in order to be implemented in driver assistance applications.

He added: "In the future, it is also necessary to establish a standard driver's license system for the machine, proving that it has enough intelligence to be on the road."

In addition to radar and video cameras, it is expected that LiDAR (Light Detection and Ranging) will also become an essential device in 2025 with 35 million products. There are currently about 15 different technologies competing for this market pie.

These sensor inputs will need to be networked for accuracy and redundancy. IHS expects the sensor fusion material cost (BoM) value of the world's advanced driving assistance system (ADAS) to double by 2025. However, the cost of basic ambient sensor fusion material for parking applications is expected to be halved and to the commercial end.

Smart car locked 5G mobile network

Katherine Winter, vice president of autopilot at Intel, said the wave of data coming with the autopilot is expected to reach about 4 terabytes of data per day by 2020, bringing huge amounts of data to 5G communications and cloud storage demand.

Currently, Intel chips are being tested in hundreds of autonomous vehicles and are looking to build end-to-end solutions that cover the vehicle, connectivity and cloud. In the future, the collection of information will be pushed through the 5G to the data center for machine learning and algorithm training, as well as access to high-resolution (HD) maps.

Nakul Duggal, vice president of product management at Qualcomm, said that the future of smart vehicles depends largely on 5G connectivity. He said: "By 2035, we expect 5G technology to deliver over $ 2.4 trillion in economic output for a wide range of automotive segments."

5G Technology Will Raise Smart Pointers for Cars ... (Source: Qualcomm)

Today's sensors are limited by their line of sight (LOS) range. The 5G will provide 360-degree line-of-sight to allow vehicles to see farther ahead of the road, even at narrow crossroads or in harsh weather conditions.

Ideally, smart cars will be able to pinpoint their location with 3D HD maps; this 3D HD map not only accurately and realistically reflects the real world, but it also updates in real time. Nakul Duggal emphasized that the use of 3D HD mapping technology requires a new type of high-speed wireless connectivity technology in the car as well as a distributed small cell base station and roadside facility (RSU).

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