Sensors become the competition for spare parts companies


“As the current automobile is in the transition period of supporting intelligence, partial intelligence, and full intelligence, we must make a difference in assisted driving and smart driving. China’s auto parts companies can no longer miss the opportunity.” Not long ago, China Aviation Zhou Shining, Senior Specialist of Auto Systems Holdings Co., Ltd., focused on the self-owned brand auto parts enterprises conference. As everyone knows, Bosch, China, Valeo, Infineon, Delphi and other foreign-funded parts and components companies have already seized the technological driving height of ADAS. Especially in the sensor market, China’s auto parts companies have lost. The "starting line" is on.


Smart cars are inseparable from ADAS

By 2016, some autopilots will be implemented. For example, a car needs a monitoring system. The driver needs to be ready to take over driving. The goal is to achieve autopilot within 30km/h; by 2020, autopilot will be achieved, when the surveillance system is not needed, but The driver needs to take over driving within the specified time; by 2025, he must fully auto-drive, do not need a monitoring system, and the driver does not need to take over driving. This is a three-step process launched by the Continental Group from assisted driving to autonomous driving innovation. In fact, this also represents the judgment of most foreign-funded parts and components companies. Dirk Hoheisel, member of the Bosch Management Committee, said that if legal and insurance issues can be solved, the car can be driven on the freeway by 2020. BNP Paribas analysts believe that in 2020 the global semi-autonomous driving car sales will reach 8.7 million, and by 2025 it will increase to 22.7 million. "The true sense of autopilot requires reliable sensors, safe vehicle data, complex system architecture, safety simulations, and regulations," said Dirk Hoheisel, member of Bosch's board of directors. In recent years, there are still many technologies that need to be broken through to achieve autopilot, but let more functions of ADAS be realized in automobiles as soon as possible to achieve safer and more intelligent car driving. This is achievable goal.

Foreign investment in development of ADAS sensors "We believe that any single sensor can't automate the car, so to really achieve unmanned driving requires different sensors to form a powerful system. We need to understand each sensor, it It's like the car's brain, through this brain to really understand the car." Recently, the CEO of Valeo Group Jacques Asshenbow said in an interview with this reporter, through the sensor, we can perceive the various types of vehicles Road conditions and surrounding environment. To this end, Valeo has established a dedicated sensor business unit, investing heavily in R&D costs to develop sensors that sense the road conditions and surrounding environment. Zhou Song, general manager of Valeo China, said in an interview with this reporter: “Our sensors need to complete detection at different distances, different angles, and different weather conditions. This requires the integration of different technologies, including ultrasound. Technology, radar technology, camera technology, infrared technology, laser scanning technology, and the fusion of algorithms for these technologies."

The ADAS system requires many sensors and more powerful microprocessors. Infineon has developed many long-distance and short-distance radars in this area. The multi-core single-chip microcomputer Auryx can provide stronger information processing and related solutions. Another semiconductor company ST (ST) has also done a lot of research work in the field of vehicle information. Maddalena Brattoli, product manager of automotive information micro-controllers in ST Automotive Products Division, said that ST owns a TCU-based vehicle-mounted processor that can not be affected by the evolution of mobile network technology, and expands its computing capacity and feature set according to various market demands. Supports precise positioning technology for multiple navigation satellite systems, providing multiple solutions for onboard sensors, local and remote networking.

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