Zhixing is an artificial intelligence technology company dedicated to autonomous driving. With the goal of zero accidents, zero congestion, free travel and efficient logistics, Zhixing helps customers reshape and comprehensively upgrade the travel and logistics mode of the whole society.
In terms of technological innovation, Mo Mo officially released China's first autonomous driving data intelligence system MANA (Snow Lake), which is the core driving force for the evolution of all Mo Mo capabilities. In terms of large-scale product landing, the driver assistance system has been equipped with five popular models of Great Wall Motors, totaling tens of thousands of vehicles, ranking first in the mass production of Chinese autonomous driving companies. The mileage of assisted driving by users has exceeded 6 million kilometers, and the number of passenger cars carried in the next two years is expected to exceed 1 million. At the same time, the terminal unmanned logistics trolley and alidamo academy, Wumei multi-point, Meituan and other industry leaders have long had a stable and in-depth cooperation, ranking in the leading position in the market share in this field.
Recently, the tank 500 equipped with the HPilot 2.0 auxiliary driving system was officially launched, and the official guidance price was 335,000 – 395,000 yuan. This also makes the Tank 500 the first model to be equipped with the HPilot 2.0 system, compared to the HPilot 1.0, the 2.0 version covers the driving and parking areas.
Last year, the company officially launched HPilot 1.0, and installed this system on WEY Mocha, Tank 300 City Edition and other models, HPilot 1.0 can realize the city closed road pilot auxiliary driving function, that is, NOH. Backed by the Great Wall, Miller mo can load this set of speeds onto the road, and the total driving mileage of the user's assisted driving has exceeded 6 million kilometers.
Based on HPilot 2.0 in 2022, Miller plans to launch the urban NOH function to open up closed + open roads, and in addition, related functions in the parking domain will also be pushed to open up the full-scene function.