Zafer Buker

• Employee of Daimler AG Truck ICUC ECU global responsibility • Test automation by using image processing (Cluster of Daimler AG Trucks) • Training the images with HAAR and LBP Cascade algorithms (PATENT RECEIVED) • Creating Artificial Neural Network for detection of images • Triggering the vehicle signals automatically and Diagnostic Process by using CAPL (C and C++) • Estimation of current vehicle speed by using image processing algorithms and by creating math model with Python

• CAPL code generator according to vehicle's signal information which comes from SMF by using Python programming language • Creating test bench for test automation • Building a security camera in the laboratory by using Raspberry Pi • Building a module which measures the distance between chassis and axle by using Arduino • Creating GUI in CANoe to analyze the behavior of vehicle signals efficiently • Creating a mathematical model to detect telltale (Small warnings on ICUC Instrument Cluster)

• CAN communication in vehicles • Software and Electronics Systems of Trucks • Generating sudden solutions for electronics and software problems