Nullmax Launched Autonomous Driving System Solution for Mass Production

Nullmax Autonomous Driving

An autonomous vehicle equipped with MAX solution

Nullmax, an autonomous driving technology company, officially launched an autonomous driving system solution “MAX”, setting about the large-scale commercialization of autonomous driving in the Chinese market.

Besides various functions, the technologies are worth mentioning. MAX adopts a vision-based perception system of multi-sensor fusion, using camera, radar and ultrasonic sensor as the main sensors and carrying a driver monitoring system. Above all, all the software and algorithms developed by Nullmax independently make MAX stand out from the crowd. Apart from these sub-modules like perception fusion, planning and control, the unique MaxOS platform also helps MAX perform better.

Autonomous Driving System

As a systematic solution, MAX makes comprehensive consideration of ODD and OEDR and has a fully complete operational mechanism including condition monitoring, alert system, takeover request, minimum risk condition, shadow system, etc. Moreover, MAX is a really reliable solution that takes functional safety, SOTIF, and cybersecurity into consideration.

Xu Lei, CEO of Nullmax said, “We want to bring autonomous driving to our daily life in a safe, efficient and affordable way, and facilitate mobility revolution of safety and transportation through its popularization. With the launching of MAX, we take the first step to realize our dream. We believe MAX is a competitive solution to popularize autonomous driving in China, where the mobility revolution has started.”

The mass production of MAX will help Nullmax expedite the commercialization of shared mobility. As Robo-taxi remains in the exploratory stage of small-scale commercialization due to the safety and cost problems in the whole industry, Nullmax will keep optimizing its ongoing products and projects of shared mobility, improving their performance in safety and lowering their costs, with the help of MAX’s practical experience in large-scale and safe operation.

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