Digital interfaces address the pain points in takeover, Linjiaqiao Technology has completed a RMB 10 million seed round of financing.
I. Core Pain Points and Requirements
At the current stage, autonomous driving systems control vehicles with digital logic, while drivers operate the steering wheel based on analog experience. The conflict between the two control logics means that manual intervention must exit the autonomous driving system.
Li Xiang, CEO of Li Auto, publicly confessed that nearly half of the intelligent driving accidents occur at the moment of takeover.
According to public data, there are 196 million people in China who travel for self-driving commuting and business trips every year. This group of people has demand for autonomous driving and high requirements for commuting time, and our products are targeted at this group of customers.
Beijing Linjiaqiao Technology Co., Ltd. finds a breakthrough idea from the industrial upgrading logic of numerical control replacing ordinary lathes, and spends five years polishing the L3-level autonomous driving vehicle control panel, which solves the industry pain points with a full-digital human-machine interaction interface and promotes the large-scale implementation of open L3 autonomous driving.
The origin of the project comes from the founder Wang Weiwei's more than 20 years of industry insight. With 5 years of experience as an ordinary turner, he returned to the lathe post in 2017 and taught himself numerical control, deeply understanding the core logic that "numerical control is the digitization of ordinary processing". When the autonomous driving industry is chasing fully unmanned closed routes, Wang Weiwei, who has been engaged in algorithm debugging for many years, realizes that fully autonomous driving without manual intervention is only an ideal state. As a necessary stage for the implementation of autonomous driving, L3 level must reserve a digital interactive entry for manual intervention. The project was officially launched at the end of 2020, and this judgment became the core motivation for the project launch.
II. Reconstructing Human-Machine Interaction with Digital Instructions
Different from the existing closed L3 solutions in the industry, the core innovation of the Linjiaqiao project lies in reconstructing the human-machine interaction logic with digital instructions.
The complete set of solutions is a full hardware and software integrated solution, including five core parts: route selection module, speed regulation knob, emergency stop button, redundant control and digital lateral control module. Drivers send digital steering and speed regulation instructions through the steering wheel, buttons and knobs, replacing the traditional analog operation of turning the steering wheel. Through the four core algorithms of instruction analysis, parameter solution, trajectory prediction and risk correction, the industry problem that digital vectors and analog vectors cannot be superimposed and calculated is solved, realizing that manual intervention does not need to exit the autonomous driving system, the system remains online throughout the whole process, the response time of manual intervention is reduced to 30 milliseconds, the accident risk at the moment of takeover is fundamentally eliminated, and the safety of autonomous driving is improved.
This solution also solves the biggest pain point of responsibility division in L3 scenarios. Under L3 conditions, the driver is still the final backstop, and the driver bears the criminal responsibility. The digital instructions are traceable throughout the whole process, realizing a clear division of responsibilities among the four parties of automakers, autonomous driving service providers, Linjiaqiao and drivers, breaking the dilemma that automakers have unlimited responsibility in closed solutions, and clearing legal obstacles for the implementation of L3.
The project also has scale advantages and a clear implementation schedule, forming a complete business closed loop through open scenarios — safety restriction — large-scale implementation! At the technical level, the project plans to build three moats of intellectual property, standards and automotive-grade compliance. At present, two utility model patents have been granted, two invention patent applications are in progress, and more than ten related patents will be deployed in the follow-up. The project simultaneously promotes the formulation of L3-level human-machine interaction association standards, aiming to gradually promote the formation of national standards and even international standards. In the competition pattern, compared with the closed autonomous driving routes of Baidu and Tesla and the closed speed limit solution of Mercedes-Benz that has been discontinued, Linjiaqiao forms differentiated advantages with open digitization, 30-millisecond response and full-process human-machine co-driving.
For automakers, in terms of compliance, the incremental compliance cost per vehicle can be reduced from 3000-8000 yuan to 800-2000 yuan, the certification cost for each vehicle model can be saved by 20-50 million yuan, and the certification cycle is shortened by nearly half!
III. Business Model and Market Space
In terms of business model, the project adopts an enterprise-oriented model, and the fees include four categories: technical solution fee, vehicle test fee, hardware sales fee and IP licensing fee. Among them, the technical solution fee is charged at 5 million to 20 million yuan per project, the target cost of hardware is 1000 to 3000 yuan per set, and the IP licensing model can achieve a profit of 150 million to 450 million yuan per 100,000 vehicles. The target customers cover automakers such as FAW, Dongfeng, Geely, Chery and other autonomous driving companies. The project has planned three product versions: the basic version is for automakers that upgrade from L2+ to L3, the compliance version is built with DSSAD sub-module to meet the mandatory compliance requirements of GB 44497-2024, and the overseas version covers UN R157 and R155 dual-track certification, which respectively correspond to the main domestic and overseas market strategic needs.
In terms of market space, the annual installation volume of L2+ and above intelligent driving vehicles in China has reached 15 million, and the global market size reaches 40 million to 45 million vehicles per year. With the gradual clarification of L3 standards, the conservative annual profit space of the L3 interface market reaches 10 billion yuan, and the potential profit space exceeds 50 billion yuan. As a participant in standard formulation, Linjiaqiao takes the lead in entering this incremental market.
IV. Team Background and Current Progress
Founder Wang Weiwei took the lead in forming a cross-field core team in Beijing in 2026. Li Keping, the hardware lead, holds a master's degree from Northwestern Polytechnical University, has 9 years of experience in L4-level autonomous driving hardware R&D, comes from the Baidu Apollo hardware team, and is proficient in automotive-grade hardware architecture design and certification. Fan Shengli, the algorithm lead, holds a doctorate from Ordnance Engineering College of the PLA, has more than 5 years of experience in full-stack autonomous driving algorithm R&D, and is proficient in LiDAR and multi-sensor fusion algorithms. Wang Jinxin, algorithm partner, holds a master's degree in electronic engineering from Tsinghua University, has more than 10 years of experience in chip algorithm and machine vision R&D, and is proficient in CUDA parallel computing and 4D millimeter wave radar data analysis. Liang Kun, hardware partner, has 15 years of experience as an electronic engineer, and is proficient in embedded systems and PCB design. Bai Jiayun, human resources manager, has experience in building a human resource system for the automotive industry, and has worked in enterprises such as Uke Youmei Auto.
The project has completed a number of key milestones so far: in 2022, the modularization of driving routes was realized; in 2023, the functional layout design was completed; in 2024, the core control method was proposed; in 2026, two utility model patents were granted and one invention patent application was submitted, and the project was officially settled in Beijing Economic-Technological Development Area in the same year. At present, the project is launching a 10 million yuan seed round of financing, transferring 15% to 20% of the shares, with a valuation of 60 million to 100 million yuan. The funds will be mainly used for automotive-grade development of 4.6 million yuan, prototype vehicle modification of 1.2 million yuan, patent application of 1 million yuan, association standard formulation of 100,000 yuan, and the remaining funds will be reserved as contingency.
According to the plan, the project will complete the prototype vehicle modification by the end of 2026, then launch the angel round of financing to promote automotive-grade certification, start supporting seed customers in 2027, realize the launch of the first batch of mass-produced vehicles in 2028, and start large-scale expansion and L4 related technology R&D in 2029. At present, the project has entered the final of Shijiazhuang Entrepreneurship Competition, and looks forward to connecting with industrial capital and industry resources to jointly promote the project implementation.