Numan Senel

Research Area: Sensor Fusion, Kalman Filter, Autonomous Driving, Roadside side sensor Main framework of research and implementation is sensor data fusion(LIDAR, Radar, Camera) for robotic/autonomous car applications. • Image processing with classical and machine learning methods(Detection, shape estimation, etc.). • Implementation of sensor to sensor, sensor to X calibration methods. • Sensor driver implementation for ROS integration. Mainly Used Technologies: Python, C++, ROS, PyTourch, OpenCV

-Designed and coded application functionality in a real-time embedded systems. •Mainly Used Technologies: C++, ROS, QtCreator, Python, OpenCV, PostSql - Running fully functional website on raspberry-pi (for usage of functionalists of industrial 3D printer) •Mainly Used Technologies: Angular(TypeScript), Python(Flask Framework), PostSql