Krishna P

Client: Magna Electronics (Audi – L2H0090)

Project -1

• Performed software qualification testing for MFK5 ADAS camera as per OEM and Magna standards.
• Executed end-to-end validation of camera-based ADAS features across multiple software releases.
• Validated camera-based ADAS features:
  BHE (Blind Spot Detection)
  WLA (Light Assistance)
  ECR (Road Surface Detection)
  HZD (Hazard Detection)
  Heater Pre-heating functionality
• Performed functional and scenario-based testing for camera features under real-time conditions.
• Validated Heater pre-heating functionality including functional behavior, edge cases, and fault scenarios.
• Performed validation over CAN, CAN FD, and Ethernet communication protocols.
• Conducted diagnostics validation and DTC analysis for hardware and software faults.
• Executed EyeQ fault degradation analysis and validated fault manager behavior.
• Performed fault injection testing to verify system robustness and degradation strategies.
• Conducted ground-truth validation by correlating camera outputs with real-world scenarios.
• Performed KPI-based analysis focusing on false positives, false negatives, and detection stability.
• Modified CAPL scripts for signal simulation, diagnostics triggering, and test automation.
• Performed Root Cause Analysis (RCA) for identified defects and supported issue resolution.
• Executed regression, sanity, and re-testing cycles to ensure software stability.
• Reviewed test logs and defect evidence to validate issue reproducibility and correctness.

Project 2:

Client: APTIV PLC, Troy (US)

• Performed functional testing and validation of ADAS features including:
  AEB (Autonomous Emergency Braking)
  FSFCW (Front Speed Forward Collision Warning)
  Front & Side Object Monitoring Systems (FSFCW)
• Validated real-time scenarios involving:
  Pedestrian detection
  Vehicle detection
  Object detection & tracking
  Traffic Sign Recognition (TSR)
• Tested system behavior by monitoring ego vehicle and front vehicle speed interactions.
• Verified collision warning alerts when sudden braking or deceleration of front vehicle occurred.
• Ensured proper signal flow from radar sensors → ADAS ECU → AEB system for automatic braking.
• Validated driver alert mechanisms and emergency braking activation under hazard conditions.
• Confirmed accurate hazard detection and data forwarding to respective ADAS ECUs.

Project 3:

Client: APTIV PLC, Troy (US)

• Performed Functional Safety (FuSa) activities as per ISO 26262 for radar-based ADAS systems.
• Worked on short, mid, and long-range radar systems for object detection including vehicles, pedestrians, and environmental conditions.
• Enabled data flow between radar → ADCAM → ADAS ECU → other ECUs ensuring proper sensor fusion with camera and other sensors.
• Identified safety-critical signals and defined Safety Goals (SG), Functional Safety Requirements (FSR), and Technical Safety Requirements (TSR).
• Created control flow and data flow diagrams and maintained complete safety traceability documentation.
• Conducted Failure Tree Analysis (FTA) and Failure Mode and Effects Analysis (FMEA) to identify hazards and failure paths.
• Performed root cause analysis (RCA) by analyzing failure propagation across ECUs and identifying underlying issues.
• Proposed and validated corrective actions and safety mechanisms to achieve ASIL-B compliance.
• Used Medini tool Analyze for safety analysis and implementation of safety mechanisms including safe state handling.
• Verified hazard detection, emergency alerts, and communication to ADAS ECU for safety-critical scenarios.

Project 4: Passenger Occupant Detection System (PODS)
Client: Aptiv PLC –Stellantis PSA

• Performed ECU validation using SAINT Bus tool and UDS diagnostics.
• Validated Passenger Occupant Detection System (PODS) for accurate detection of occupant presence on seat.
• Tested occupant classification logic including:
  Child seat detection
  Adult / passenger presence detection
  Empty seat identification
• Verified airbag deployment logic based on occupant classification and safety conditions.
• Validated signal communication flow between PODS ECU and Airbag ECU.
• Conducted boundary and edge-case analysis for passenger classification scenarios.
• Performed diagnostics services configuration and DTC validation.
• Executed AFTV (Acceptance Functional Test Validation) for PODS ECU.
• Performed MPI (Manufacturing Part Integration) validation and Part Number validation.
• Validated Calibration Workbook (Calibration) data and SWIT (Software Integration Testing).
• Performed complete system checkout validation after integration.
• Used SAINT Bus for ECU communication and diagnostics testing.
• Performed log analysis to verify system behavior and identify issues.
• Tracked and managed defects using Jira.
• Supported defect triage and validation of fixes through re-testing.

Client: Fiat Chrysler Automobiles (FCA / FIAT)

• Performed bench-level validation of infotainment ECUs across multiple vehicle platforms.
• Tested infotainment features including:
  Bluetooth (BT) connectivity and functionality
  Navigation system accuracy and routing behavior
  Android Auto integration
  Apple Car Play connectivity and performance
• Validated:
  Feature functionality and usability
  Audio clarity and connection stability
  Navigation correctness and real-time behavior
• Executed testing aligned with V-Model SDLC.
• Performed functional, regression, and sanity testing for infotainment features.
• Conducted UDS diagnostics over CAN for ECU communication validation.
• Validated:
  DTCs (Diagnostic Trouble Codes)
  DIDs (Data Identifiers)
  Fault conditions such as open circuit, short circuit, and communication errors
• CANoe / CANalyzer for CAN communication analysis
  TeraTerm for serial communication
  GNS tools for navigation validation
• Performed log analysis and verified system behavior against expected results.
• Supported defect identification and validation of fixes through re-testing.