Working on adaptive cruise control systems with radar and camera data fusion in the field of driver assistance systems. Responsible for radar software components related to digital signal processing, ego-vehicle dynamics estimation, object hypothesis and situational analysis. Firm knowledge in the analysis of vehicle measurements with focus on identification of target object loss reasons. Further expertise in the evaluation of object type classifications with respect to obstacle and non-obstacle.

Worked on a project for the development of a novel automotive laser scanner (LiDAR). Developed lane and border extraction algorithms with V-model compliance in C++. Implemented a test environment to analyze the detection performance using OpenCV. Experimented with the design and implementation of signal processing algorithms. Enhanced the intrinsic end-of-line sensor calibration algorithms in C++.

Worked on a project for the development of a 48V electrical boost recuperation machine. Implemented software requirements in Matlab/Simulink under consideration of the V-model specification and ISO-26262 compliance. Verified algorithms in Simulink and Hardware-in-the-Loop simulations. Performed tests by analyzing code coverage, runtime and controls.

Conducted a business case study in the field of rapid prototyping for flexible engine control. Designed a gasoline engine control interface implemented in Matlab/Simulink to set and monitor engine speed or load through fuel injection and ignition based on driver's demand. Tested the developed environment on target sensors and actuators at the customer site.