■ Based on ISO 21448, use SOTIF methodology to implement the entry-ramp scenarios. Organize the scenario hazard analysis, cost function design, Monte Carlo scale up method and algorithm implementation. Build the hazard model, improve the algorithm’s strategy and extend function's ODD.■ Lead the SiL data closure on cloud server. Referring to PEGASUS testing method, organize scenario library(OpenScenario 2.0) construction, vehicle data collection, slicing/evaluation/ validation tools’ development on data center. Build a complete pipeline for SiL concurrent test from 0 to 1.■ Organize AUTOSAR CP(Vector DaVinci), AP(EB corbos) algorithm integration and communication verification(SOME/IP).

Rebuild SiL test platform from Matlab to C++, to solve the communication delay problem.■ Establish toolchain to trans logic scenarios to concrete scenarios based on ISO 34502.Organize the design of logic scenarios definition specification, scenarios scale up rules and OpenSenario format decomposing.

Data visualization and simulation. Familiar with OpenGL, WebGL(Three.js). Experience with C++/Python/JavaScript.

Skilled in MIL/HIL simulation with CarMaker/Matlab/python. Responsible for dozens of ADAS production's simulation and function test. Developing tools to improve the efficiency of simulation process. Familiar with vision only ADAS algorithms framework and logic. Function owner of TSR(based on ME SOC).

Responsible for the control algorithms in driverless car/new energy vehicles with Simulink / Carsim / Dspace. Developed the ACC / AEB / LKS control algorithm, designed the functional logic algorithms, partly responsible for SIL and HIL debugging.