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Yu Chengdong broke the news: Huawei’s high-end smart cars priced below 300,000 are actually operating at a loss

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2024-04-24 08:43:15998browse

Yu Chengdong broke the news: Huawei’s high-end smart cars priced below 300,000 are actually operating at a loss

According to news on April 23, Yu Chengdong, Huawei’s Managing Director, CEO of Terminal BG, and Chairman of Smart Car Solutions BU, recently revealed that Huawei has made significant investments in the field of smart driving technology, even high-end smart driving equipment worth less than 300,000 yuan. Also selling at a loss. Such a strategy shows Huawei's deep investment and long-term vision in intelligent driving technology.

Yu Chengdong’s remarks are also warming up the upcoming release of Huawei’s new M5. He said excitedly that this new model will bring a more fashionable appearance design, a better driving experience, smarter travel functions and more comprehensive safety protection. This will undoubtedly bring users a whole new level of driving enjoyment.

At the same time, Huawei’s ADS 2.0 high-end intelligent driving system has been open to users for upgrade. The new system supports the intelligent driving pilot NCA function, which is characterized by "it can be driven nationwide, the more you drive, the better", and it also adds practical functions such as parking and driving. Behind all this is inseparable from deep investment in the fields of cloud computing and artificial intelligence. It is these investments that enable the rapid improvement of intelligent driving capabilities and experience.

The new version of the NCA intelligent driving and navigation assistance system has got rid of its dependence on high-precision maps. This means that all types of roads, including main roads, auxiliary roads, and branch roads in urban areas, as well as expressways, national roads, provincial roads, rural roads, etc., can be used smoothly. This breakthrough technological progress benefits from the strong support of GOD network and RCR network 2.0 technology. These two network technologies can not only achieve an obstacle recognition rate of 99%, but also allow the system to independently understand complex road conditions and truly "understand objects and roads", thus providing users with smoother and more intelligent driving experience.

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