Focusing on airport autonomous driving applications, Qingweirufeng has completed a Pre-A round of financing of tens of millions of yuan. | 36Kr exclusive.

Recently, Beijing Qingwei Rufeng Technology Co., Ltd. (hereinafter referred to as "Qingwei Rufeng") has completed the Pre-A round of financing.

This round of financing amounts to tens of millions of yuan, led by Yunshi Capital and followed by TusStar Ventures. This round of funds will be continuously used for team expansion, product research and development, and project operation.

Qingwei Rufeng was established in 2022, focusing on the research and development of L4-level autonomous driving for airport logistics transportation and the digital brain platform, providing one-stop solutions for airports, airlines, and logistics companies. The company has rich research and development experience in the autonomous driving industry, and its core team is composed of outstanding graduates from Tsinghua University.

At present, Qingwei Rufeng's unmanned vehicle products have been deployed to 11 city airports across the country, including Xi'an, Lanzhou, Urumqi, and Chengdu.

Product image of Qingwei Rufeng

Airport transportation is an important sub-segment of autonomous driving. The relatively closed park environment and orderly operation order are fertile soil for the landing of L4-level unmanned autonomous driving. The Civil Aviation Administration of China clearly pointed out in the "Action Outline for the Construction of Four-Type Airports in Civil Aviation of China" that it is necessary to build a smart airport with comprehensive Internet of Things, data sharing, collaborative efficiency, and intelligent operation. Among them, autonomous driving will be an important part.

The core technologies of Qingwei Rufeng include: an unmanned driving safety system that can effectively identify aircraft, personnel, and other obstacles and perform emergency braking; a high-precision positioning system that can ensure the full-area coverage operation of special vehicles in the airport environment; an intelligent planning system based on large model training, which learns the operation and operation methods of drivers on the premise of following rules.

Unmanned vehicles with a comprehensive perception system can make the vehicle operate autonomously through intelligent decision-making and precise execution, which can largely avoid traffic violations, carelessness, and other situations, and also avoid accidents.

On the other hand, since there is no need for human driving, autonomous driving can undoubtedly help airports reduce labor costs; unmanned vehicles are connected to the airport's intelligent network system, and in terms of scheduling, it can also reduce the operational difficulty of the airport. In addition, unmanned vehicles that can work continuously for 24 hours can directly increase the logistics transportation volume of the airport.

In February this year, the Civil Aviation Administration of China released the "Action Outline for Composing a New Chapter of Building a Strong Transportation Country in the New Era and on the New Journey in Civil Aviation", which clearly plans that by 2035, the number of national transportation airports will increase from the current 259 to 400, with the ability to guarantee 30 million takeoffs and landings per year.

This indicates that in the next ten years, the national transportation airports will usher in a new round of construction boom. Today, with the continuous increase in logistics transportation volume and labor costs, autonomous driving will be the future solution for airport logistics transportation. Currently, the company's unmanned tractor and other types of airport equipment have been deployed to many domestic airports, and at the same time, sales to overseas South Korean airports were achieved in October last year.

Beyond the airport logistics transportation scenario, Qingwei Rufeng also plans to expand the application scope of its products to areas such as passenger and cargo transportation, unmanned delivery, and low-altitude economy in the aviation logistics field, and is committed to promoting the commercialization process of autonomous driving applications in the airport aviation field.