Vishnu Vijayan

1. Research and Development of virtual sensors to replace hardware in automotive applications. 2. Hands-on experience with static pitch angle and vehicle mass estimation. 3. Signal processing, model-based design, algorithms, and software development. 4. Calibration, integration, and testing of live models to be deployed in the market. 5. Use data science, automotive engineering, and electronics concepts to develop live physical models.

1. Developed and validated innovative radar-based solutions, assisting the calibration team. 2. Developed a strategically efficient automation tool for KPI evaluation. 3. Mechanical Impact Analysis on the sensor and optimized integration of Radar Sensors. 4. Prepared test catalogs and conducted functional tests. 5. Technical presentations and documentation, coordinating with cross-functional teams.

1. Thesis project at FKFS Research Institute - Research on Scenario Comparison for Driving Simulations. 2. Pioneered an innovative method for evaluating driving scenes using vehicle sensor data. 3. Developed unique and efficient algorithms with Python and Matlab/Simulink environments. 4. Handled driving datasets, gaining expertise in probabilistic and statistical evaluation for perception. 5. Confident handling of Radar, Camera, Lidar, and GPS/IMU sensor data for algorithm development.