IHS Technology, points out that sensor fusion ECU market is expected to be between 2015 and 2025 at 20% CAGR grow, become the highest growth rate in the auto industry applications...
Sensor fusion, sensor fusion) is expected to become a master automated driving challenge indispensable technology, its ability to need to deal with real-time sensor data. According to the marketing firm IHS Technology, points out that the industry has yet to meet such conditions, thus for the start-up of this field, and focus on buying these startups old enterprise opportunities.
Soon, the ecological system will benefit from the high performance automatic driving driving force of the solution. IHS, a senior analyst at Akilesh Kona explanation, the reason is that in order to realize the function of vehicle automated driving, it needs reliable information related to the environment. Need reliable information, however, means that need to be different and a lot of sensor types.
In general, advanced driving assistance systems (ADAS) using 360 - degree field image of the environment around them. These images from the camera, radar, and part of the ultrasound a variety of different sensors, and operations. The reason to must use so many different sensors is that each sensor types have a certain limit.
For example, the camera in low light or poor weather conditions at the time of the image quality is poorer. Radar sensor is less affected by the weather; However, its image quality is poor because of the low resolution. Lidar (Lidar) sensor provides a better definition of the image, but in the rain, snow or hail also affects its performance. All these sensors signals, however, fusion, reliable, high resolution image can be realized, and enough redundancy used in safety critical applications such as automated driving.
This kind of situation is conducive to their specialized knowledge startups. And IHS, points out that due to the established vendors want to remain competitive, for starting through the acquisition of professional knowledge. For example, GM (General Motors. GM) acquired self-driving technology company Cruise Automation, Delphi acquisition a Ottomatika at Carnegie Mellon university, and the Dura Automotive Systems, with Green Hills Software cooperation and common development of self-driving car sensor central modules.
In addition, the semiconductor industry is committed to providing high performance computing solutions, in order to meet the sensor central the enormity of the task required. Grace wisdom, for example, pu semiconductor (NXP) developed BlueBox, EyeQx Mobileye introduced, and the latest generation of EyeQ5 platform. To some extent, chip makers can also borrow the consumer market of similar design expertise.
Deep learning technology and machine vision, is seen as a good way to solve the problem of autonomous decision-making. However, these technologies for the auto industry is still a new field. These areas of expertise in creating start-ups and break up the company found in research institutions and universities. As IHS analyst Akilesh Kona, these companies - if the acquisition has not been established companies in this industry chain opens up a new development direction.
As a result, the algorithm for sensor with the requirements of the platform, created new growth market for the automobile industry value chain. IHS, points out that in 2015, only 4% of new car platform built in sensor fusion engine control unit (ECU), used to implement the panorama parking assistance and safety critical functions; However, before 2025, that number is expected to increase to 21%.
ECU is expected between 2015 and 2025, sensor fusion market the compound annual growth rate (CAGR) of about 20%, become the highest growth rate in the auto industry application components - from a variety of different levels for new suppliers to provide a supply chain into auto market opportunities.
