Hanzhang Bao

1. Deeply involved in autonomous driving testing, focusing on ADAS systems, performing AEB and ELK, etc
Detailed testing of key active safety functions to ensure safe driving of vehicles.
2. Utilize professional tools for backend testing data analysis, accurately locate and report issues, effectively communicate with the development team through Jira system, promote problem resolution, and improve product performance
3. Lead the CNCAP site testing project, strictly control the testing standards, and ensure the comprehensiveness and compliance of the testing.
4. Organize and conduct nationwide long-distance road tests, optimizing team collaboration and
Resource utilization has significantly improved testing efficiency and shortened project cycles.
5. Through effective personnel and project management, the overall efficiency of the team has been improved.
Involved toolchain: CANoe CANape Liviz (self-developed visualization) Lireplay (self-developed visualization data analysis)
OBD diagnostic tool
Visual Studio code modification
Involving operating system: Linux

1. Responsible for testing NIO's vehicle active safety system to ensure the precise operation of ADAS functions, including key modules such as automatic emergency braking (AEB), adaptive cruise control (ACC), and emergency lane keeping (ELK).
2. Accumulated rich experience in ENCAP and CNCAP security rating project testing, ensuring that the product meets international high standard security requirements and enhancing its market competitiveness.
3. Proficient in and applying relevant testing regulations and standards, providing regulatory guarantees for vehicle safety performance, effectively reducing potential risks, and enhancing customer confidence in the product.
4. Independently completed multiple rounds of testing for CAERI'S ENCAP2023 and ENCAP2020, including C2C and VRU tests, and generated test reports to calculate scores based on thresholds
5. Independently complete test data analysis. Use backend data analysis tools to analyze test data and propose Jira for debugging
Involved toolchain: CANoe parameter modification
Mobius Data Analysis Tool
BD2
Visual Studio code modification, etc
Involving operating system: Linux

1. Responsible for collecting road information and conducting post-processing analysis on the data
2. Deployment of vehicle software drivers, hardware debugging, and functional testing of the vehicle
3. Follow the car for testing and analyze the test data
4. Responsible for debugging autonomous driving and vehicle testing, troubleshooting software and hardware issues, keeping records of vehicle problems, providing timely feedback, and recording and providing feedback on the Jira platform.
5. Use Linux basic language to query and identify vehicle software and hardware issues, fix the bug and test