At the "AI Chongqing Intelligent Driving Night & Qianli Technology Brand Launch Event" held today, Yin Qi, Chairman of Qianli Technology, stated, "With continuous technological breakthroughs and iterations, declining costs, and gradual policy liberalization, Robotaxi will enter a period of rapid popularization in the next three years."
According to Yin Qi, to this end, Qianli Technology has formulated a clear "Iron Triangle" plan for the future, aiming to complete the full-industry chain layout for Robotaxi within the next 18 months.
First, Qianli Technology will accelerate the R&D of L4-level intelligent driving solutions, with plans to launch them by the middle of next year. It will also collaborate with Geely to advance the R&D of entire vehicles, creating a dedicated hardware carrier for Robotaxi that balances safety, convenience, and comfort.
In addition, Qianli Technology will jointly build a Robotaxi operation service platform with leading domestic and international mobility service providers.
Second, Qianli Technology plans to collaborate with partners to achieve large-scale deployment in 10 cities worldwide within the next 18 months, laying the foundation for business development.
Finally, it will deploy over 1,000 Robotaxi vehicles in a single city, crossing the threshold of commercialization and truly securing an entry ticket to the industry.
Yin Qi pointed out, "With the continuous integration of AI technology and automobiles, the entire automotive industry is at a historic turning point. Against this trend, Qianli Technology has launched a business transformation centered on 'AI + Vehicles'. After more than a year of exploration, Qianli has completed the initial layout in several core business segments."
He stated that in the field of intelligent driving, one of Qianli Technology’s core technical judgments is that intelligent driving systems will enter a new phase driven by AI large-model capabilities. Therefore, it is necessary to use the best AI technology to redefine the new industry standards for intelligent assisted driving.
(Reprinted from https://news.eccn.com/）