According to EO Intelligent, with the improvement of the degree of intelligence of automobiles, AI technologies in various domains are expected to integrate AI domains and unify and coordinate the intelligent functions of various domains. The multiple functional domains of today's cars are controlled by independent and interconnected AI systems, which means that the cross-domain collaboration process is complex. On the whole, there are many functional redundancy in the loose intelligent system of automobiles, and the hardware performance and computing power have not been optimally utilized under the existing AI system. Therefore, the automotive system needs to be more efficiently integrated and optimized to improve the performance of the vehicle.
EO Intelligence predicts that in the future, the automotive industry will develop a new domain - AI domain, which is responsible for integrating and coordinating AI technologies in the existing five functional domains, and is responsible for unified collaboration with the car cloud. This new domain will facilitate the formation of a highly integrated intelligent system in the vehicle, ensuring that hardware and computing resources are fully and efficiently utilized, so as to achieve the overall performance of the whole vehicle. At present, the AI intelligent system of automobiles consists of multiple independent but intertwined AI systems, which work together with the vehicle cloud to form a complex system. These AI systems distributed in various domains have evolved independently in the development process, and lack a unified and rigorous design. The current loose AI system may have a lot of redundancy, and the computing power and hardware performance of automobiles cannot be optimized and efficiently applied. According to the prediction, in the future, the automotive AI intelligent system will be rigorously designed to form an intelligent system that is uniformly controlled by a new domain - the AI domain and coordinated with the vehicle and cloud. Under this system, the car will make full use of hardware resources and computing power in each domain to achieve performance optimization.
Figure: The current automotive AI intelligent system lacks integration and optimization
Chinese automakers have demonstrated product advantages in the application of AI in cars
According to the analysis of EO Intelligent, according to the evaluation model of the development degree of product AI, NIO, BYD, BAIC Group, Changan Automobile, and Li Auto have outstanding advantages in the application of AI technology in cars, and NIO, BYD, and Ideal themselves have strong AI technology development and application capabilities, and BAIC and Changan have outstanding performance in product AI level with the support of Huawei's smart frame, smart cabin, intelligent chassis and other technologies. In addition, car companies are paying more and more attention to the application of AI technology in vehicles. For example, the first echelon of NIO has strong AI technology R&D and application capabilities, and there are typical mass production models with outstanding AI technology, and the development of AI technology in various automotive domains is relatively balanced. Taking Li Auto as an example, it has obtained the second echelon, and gradually attaches importance to the research and development of AI technology and the ability to apply it on the car. The third echelon, taking FAW as an example, began to realize that the application of AI technology on the car is a trend, and began to use AI technology in a certain field, but the depth of technology application needs to be strengthened.
In recent years, car companies have maintained close cooperation with software and hardware technology companies and universities, and car companies represented by BYD, Great Wall Motor, Chery Automobile, SAIC Motor, and NIO have actively promoted ecological cooperation. For example, BYD has worked closely with Huawei, Apple and other technology companies in AI solutions, and at the same time cooperated with NVIDIA and Horizon to promote AI chips in AI chips, and cooperated with Tsinghua University and many other universities in technology research and development.
According to the ranking of AI ecological cooperation capabilities of car enterprise groups analyzed by EO Intelligent, the middle and tail of the overall competition pattern of AI applications are lighter than those in the middle and head, showing a positive triangle trend.
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