Chen Y.

•Cloud platform: - Based on the embodied intelligence requirements related to autonomous driving, build the overall data closed loop and simulation test product line construction, complete the end-to-end algorithm framework construction and world model training through generated data and smart agent construction. Using VLA model to improve the efficiency of developing. (Delivery to Xiaomi, Hozon) •Software and hardware solutions: - Lead the writing of mass production platform/user product design plans, complete fixed-point related user product communication, organize SOR communication with the customer side, and cooperate with system R&D to complete the design and definition for intelligent driving functions on the platform side, deliver to Li Auto for more than 400 thousand vehicles •Robobus: - Define the robobus ODD, lead the completion of the software and hardware design of driverless robobus and the construction of corresponding product solutions, and realize the implementation of robobus through hardware redundancy, vehicle-mounted equipment and remote-control solutions

- Data closed-loop model training platform: Design and build automated data production and through the construction of machine learning and annotation platform, realize the online automated process from deep learning sample annotation to model training, complete the recommendation and screening of models - Generated simulation platform: To achieve a complete closed loop from data to simulation. Design the function of interaction between logsim and worldsim to improve the overall efficiency of simulation. Using smart agent is processed for human-like behavior to make the performance more realistic - Robotaxi platform: Based on the same vehicle dispatch and management system, for different vehicle management and dispatch are completed through the platform to realize a multi-platform, multi-region, and multi-business type taxi system - Autonomous driving project: Coordinate and promote the autonomous driving unmanned project, coordinate the engineering teams, testing teams, and integration teams in China and the United States to achieve fully unmanned autonomous driving on safe and redundant vehicles, design corresponding product solutions, and pass the California Driverless Permit Test - Autonomous driving license test: Communicate and coordinate the autonomous driving license application in Beijing and Wuhan, manage the integration group, testing group, safety officer group, and operation and maintenance group to promote the autonomous driving license test in Beijing and Wuhan

- Build an autonomous data loop for whole training cycle: Including data platform, annotation platform and model training platform. Provide ability for autonomous driving data collection, data labeling and model training, and also provide ability for pre-labeling to increase the efficiency of labeling - Build a simulation test cycle for autonomous driving research & development: Including simulation platform & test platform, to support dev test, release test and smoke test for autonomous driving

- Design data platform for autonomous driving cars, using subscripition for different team to collect data. Display core data to tracking process of development - Design HMI App for autonomous driving vehicle, complete the user experience for both driver and customer in Wuzhen WIC - Create business plan of autonomous driving unit, successfully approved by Baidu