With the continuous development of electric and intelligent vehicles, cars have evolved into a “smart mobile space”. In 2023, domestic and foreign auto companies, including Tesla (TSLA), are pushing for the commercialization of urban NOA. As an important application scenario of artificial intelligence and other frontier technologies, intelligent driving belongs to the prelude of its era and is slowly opening.
At the present stage, intelligent driving is gradually shifting from L2-assisted driving to L3-L4 high-level autonomous driving, among which the key technologies cannot be separated from large computing power chips, lidar, algorithms, domain controllers, etc. Therefore, the large-scale commercialization of high-level autonomous driving is naturally inseparable from the full cooperation between automobile manufacturers, chip companies, and related parts enterprises.
Due to the further maturity of policy catalysis and technology, 2023 can be said to be the first year of intelligent driving. With the large-scale release of urban NOA in the second half of this year, the penetration rate of advanced autonomous driving is expected to increase rapidly.
Intelligent driving technology stands for the future
It is true that the era of artificial intelligence is coming, which accelerates the application of artificial intelligence in the field of intelligent driving. Intelligent driving is the next stage after the new energy transformation of automobiles. The essence of intelligent driving is to achieve high-order artificial intelligence.
Robin Li, the founder of Baidu (BIDU), said at the Baidu Create AI Developer Conference, ” At the technical level, AI has moved from understanding content to automatic content generation, including AIGC for painting, graphics, video, and other types of content creation. The most representative example of the change in commercial applications is intelligent driving.”
Artificial intelligence driving has become another important track of artificial intelligence because artificial intelligence first for intelligent driving, ground brought stronger than traditional computer vision environment perception, autonomous navigation, and information fusion ability, also for the development of autonomous learning ability behavior decision-making, path planning and vehicle body control system, brought new research and development ideas and means.
Artificial intelligence also opens up a battlefield of deep reinforcement learning, so that intelligent driving cars can also have the ability of autonomous learning, and improve their full situation awareness and decision-making ability to deal with emergencies. In terms of breakthroughs in intelligent driving technology, artificial intelligence can improve the efficiency of intelligent driving cars. It can identify and plan multiple driving paths, allowing the vehicle to avoid traffic jams and ensure the shortest and fastest route. In addition, AI can also be adjusted according to road conditions, speed, passenger needs, and other factors to ensure customers’ travel comfort and speed.
Industry leader first
In recent years, the rapid development of high-tech technologies such as artificial intelligence, the Internet of Vehicles, and 5G communication has brought opportunities for revolutionary changes to the automobile industry. Now, some niche track companies are also thinking about more possibilities of combining AI and intelligent driving. It is understood that the world’s leading artificial intelligence technology enterprise WiMi Hologram Cloud(NASDAQ: WIMI) product matrix, creates strong technical barriers, involved in the intelligent driving industry chain-related business.
At present, WiMi Hologram Cloud has gradually strengthened its innovation in the field of artificial intelligence in the long term, maintaining a high intensity of R & D investment, and has a relatively strong first-mover advantage. Up to now, WiMi Hologram Cloud has 132 related patents, 214 software Copyrights, 5,000 IP rights, a rich product matrix + strong technical barriers to help the company’s high elasticity growth.
In the current AI era, with the continuous expansion of the intelligent driving market scale and the intensification of market competition, WiMi Hologram Cloud has realized the full-stack self-research of artificial intelligence technology with its forward-looking layout. Covering advanced vehicle control and AI algorithms, as well as the research of human-machine collaborative driving mode, rich technology accumulation, and continuously enhanced product competitiveness, jointly create a new chapter of intelligent driving.
It is worth noting that the man-machine collaborative driving system mode studied by WiMi Hologram Cloud means that the driver and the intelligent system share the control of the vehicle and complete the driving task together. This is a hybrid intelligent driving system based on an AI man-machine collaborative hybrid system that strengthens the intelligent system of man and machine by combining the advantages of man and machine. This marks that WiMi Hologram Cloud has gradually become the top player in the field of intelligent driving, and will continue to write brilliant achievements on the road of intelligent driving in the future and draw a broader blueprint for the future of intelligent driving.
To sum up
Big model roaring in, let the whole AI industry “Ecstatic” —— let intelligent driving see the dawn of the future. With the in-depth development of intelligent driving, the technical route of vehicle-road collaborative intelligent driving has gradually become the consensus of the industry, which can solve the problem of traffic environment order and meet the needs of cross-industry and cross-field transportation. To solve a series of key problems such as multi-level interoperability and collaboration, large-scale and high-density real-time control, high reliability, and low delay computing decision, which is a change and breakthrough to the essence of intelligent transportation.
Artificial intelligence and intelligent driving vehicles will help improve road safety and efficiency, and the successful application of these technologies needs the support and coordination of all sectors to further promote the development of technology and achieve wider applications. In general, the commercialization of the scale of vehicle-road collaborative intelligent driving is a gradual development process, from the local to the whole, and from quantitative change to qualitative change. Therefore, the relevant laws and regulations affecting the development, production, sales, and commercialization of intelligent driving vehicles still need to be studied and formulated faster.
