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At present, autonomous driving technology has not yet reached the highest level, and during this transition period, domestic companies have launched their own intelligent driving systems. These intelligent driving systems combine artificial intelligence, sensing technology and automatic control technology to effectively improve driving safety and comfort. The investment and R&D of domestic enterprises in the field of autonomous driving have achieved certain results, which has promoted the development of intelligent driving technology. With the continuous progress and maturity of technology, intelligent driving systems will become an important development direction of the automotive industry in the future.
On April 11, Yu Chengdong, Executive Director of Huawei, CEO of Device BG, and Chairman of Intelligent Vehicle Solution BU, delivered a speech at Huawei's HarmonyOS Ecosystem Spring Communication Conference. Yu Chengdong said that Hongmeng Zhixing's first smart car, Zhijie S7, started mass delivery. Huawei said that the Zhijie S7 rolled off the assembly line one car in one minute. At the same time, the Zhijie S7 was first equipped with Huawei's visual intelligent driving solution-HUAWEI ADS basic version, surpassing the originator Tesla in related performance, and allowing more users to enjoy the fun of intelligent driving at a lower price.
At the same time, Yu Chengdong said that the Zhijie S7 can enjoy intelligent driving when you pick up the car, and Huawei's high-end intelligent driving urban NCA has been fully upgraded, "It is not a futures but a spot, and it is the best spot." "If there is a road, it can be opened", Yu Chengdong said, Huawei's high-end intelligent driving system ADS has covered more than 40,000 cities and towns in China, and can cover the country's urban arterial roads, all branch roads and even some capillary roads, and the third-party test results show that the road coverage rate has reached 99.56%.
-- Classification standards for autonomous driving
At present, the general classification method of autonomous driving in the market adopts the J3016 autonomous driving classification standard formulated by the International Society of Automotive Engineers (SAE) in 2014. The SAE describes automation into six levels, namely L0 to L5, with Dynamic Driving Task (DDT) as the core to classify autonomous driving.
L0 to L2 are assisted driving, and L3 to L5 are autonomous driving. At present, the L2 level of advanced assisted driving technology has been basically realized, and the penetration rate is gradually increasing, and the autonomous driving technology has begun to move towards the L3 level, realizing the leap from assisted driving (ADAS) to autonomous driving (ADS).
——Analysis of Huawei's intelligent driving solution
In April 2023, Huawei launched the upgraded ADS2.0 advanced intelligent driving system for the first time in the M5 Intelligent Driving Edition. As of September 2023, the average mileage of ADS2.0 long-distance piloting has been increased to 200km.
In terms of hardware solutions, Huawei uses algorithms to achieve peripheral support at the perception layer, using a total of 27 sensors, and using the assisted driving chip MDC610 as the core computing unit to provide 200 Tops of computing power. In terms of software, Huawei integrates BEV bird's-eye perception capabilities and the industry's first GOD2.0 network (general obstacle detection, identification of special-shaped objects) + RCR2.0 (road topology inference network, matching navigation map and display network), with an algorithm architecture similar to Tesla's BEV+ occupied network, reducing the dependence on high-definition maps, so as to cover more mapless scenarios and achieve functional implementation.
-- Development plan for the autonomous driving industry
In February 2020, 11 ministries and commissions, including the National Development and Reform Commission, jointly issued the "Intelligent Vehicle Innovation and Development Strategy", proposing to achieve large-scale production of conditionally autonomous intelligent vehicles by 2025 and realize the market-oriented application of highly autonomous intelligent vehicles in specific environments. Looking forward to 2035 to 2050, China's standard intelligent vehicle system will be fully completed, and the vision of becoming a smart car power will be gradually realized. The strategy puts forward the main tasks of intelligent vehicle development to build a technological innovation system with technology improvement and demonstration application as the core, an ecosystem of cross-border integration, an advanced and complete infrastructure system, a systematic and complete system of laws and regulations, a scientific and standardized product supervision system, and a comprehensive and efficient network security system.
Yu Kai, founder and CEO of Horizon, said that with the continuous evolution of technology, consumers will increasingly enjoy the safety and convenience brought by intelligent driving, and it is an inevitable trend for the assembly rate to develop towards 100%. According to He Xiaopeng, CEO of Xpeng Motors, at present, intelligent driving needs to be taken over 10 times per 100 kilometers on average, and it should be reduced to less than 1 time in the future, and the inflection point of high-end intelligent driving will come in the next 18 months.
Chen Qi, vice president of ZEEKR Intelligent Technology, believes that the current intelligent driving industry is gradually returning to rationality from a capital carnival. Intelligent driving is a marathon, development can not only rely on short-term sprints, the key to deal with market competition lies in the reasonable control of the rhythm, only the coexistence of explosive power and endurance, in order to win this intelligent "war". Gu Huinan, general manager of GAC Aion, predicts that this year will be the year of the outbreak of L3 autonomous driving, and 2026 will be the year of the outbreak of L4 autonomous driving.
Prospective Economist APP Information Group
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