Software Validation and Integration Test Engineer with 4.5 years of experience in the automotive industry, I specialize in Advanced Driver Assistance Systems (ADAS) sensors and Electronic Control Units (ECUs). My expertise lies in the validation of ADAS Camera and RADAR systems, with a strong focus on features like Automated Emergency Braking (AEB), Adaptive Cruise Control (ACC), and Lane Assist technologies.
Key Highlights:
•Proficient in the entire Hardware-in-the-Loop (HIL) testing process, including requirement review, test specification implementation, test case preparation, HIL setup, testing, and failure analysis.
•Extensive experience with AUTOSAR environment, particularly in Basic Software (BSW) and Runtime Environment (RTE) layers, utilizing the Lauterbach TRACE32 debugger tool.
•Advanced skills in using Vector tools such as CANoe, CANalyzer, CANape, and vSignalyzer for comprehensive vehicle network analysis and testing.
•Competent in utilizing MATLAB GUIs and scripts for evaluating Camera and RADAR data.
•In depth knowledge of ECU communication and diagnostic protocols including CAN, CAN FD, and UDS.
•Good experience in CAPL scripting for efficient test automation.
•Skilled in working with requirement management tools like Polarion and defect management tools like JIRA.
•Thorough understanding of ASPICE processes, ensuring high-quality and compliant software development.
Project 1 :
Validation of Automated Emergency Braking (AEB) & Adaptive Cruise Control (ACC) features as per EURO NCAP Standard Scenarios using Renault Internal Tool & Vector CANape, vSignalyzer
Scope of the project is :
- To identify and reduce false detection/activation of the system
- To study the behavior of the system under various NCAP scenarios
- To ensure no-regression due to SW evolutions / calibrations (No impact from other ADAS systems)
Responsibilities include :
Project 2 :
Ground Truth Extraction and Digitalization of Lanes using an Application developed in MATLAB
Scope of the project is :
- To develop an Application for lane marking using Automatic detection and Manual labeling
- To extract inner and outer edge points from the lane with respect to Rear axle
- To find geo coordinates for the points and find line width for the same
Responsibilities include
Project 1 :
Short Range Radar
Description :
Radar can sense the data and it will pass to the Domain controller (Active safety), Domain controller will provide the data to the actuators (Vehicle speed, steering wheel, ABS).
Also tested Time sync, Boot loader, AUTOSAR, Blockage detected fault, Authentication, Detections and CAN and UDS areas for the same project, BSW and RTE components.
Responsibilities:
Project 2 :
User Assistance (Driver and Passenger)
Description:
Driver and passenger (User) can adjust seat height up and down, forward & rearward, recline with the help of switches and store favorite positions with the help of switches and recall.
User can select driver side and passenger side mirrors also he can store favorite positions with the help of switches. Also tested CAN and UDS of same project.
Responsibilities: