Mr. Barham Farraj | kromberg & schubert | Slovakia
The researcher is a highly motivated and results-oriented Service and Development Engineer specializing in robotics, LiDAR systems, and autonomous driving technologies. His work focuses on bridging the gap between development and practical deployment of intelligent robotic systems, with a strong emphasis on perception, mapping, and navigation using LiDAR-based solutions. He has demonstrated exceptional technical expertise through hands-on experience at the Vehicle Research Center in Győr, Hungary, contributing significantly to autonomous vehicle research, system integration, and performance optimization. A key highlight of his research is the development of a real-time LiDAR-based urban road and sidewalk detection system for autonomous vehicles. This project integrates advanced LiDAR sensing with ROS2, C++, Python, and MATLAB, enabling robust environmental perception and accurate object classification in complex urban settings. By leveraging point cloud processing and machine learning techniques, his work enhances vehicle awareness, paving the way for safer and more efficient autonomous navigation. He has also contributed to major academic and industrial initiatives, including building and programming autonomous racing vehicles for international competitions such as RoboRacer and F1TENTH, and leading simulation-based testing in Gazebo and Foxglove environments. His research extends to transforming ROS1-based algorithms into ROS2 for improved modularity and scalability across multi-vehicle systems. In his current role at Kromberg & Schubert Automotive, Slovakia, he develops embedded applications and perception systems for industrial mobile platforms, integrating sensor data and diagnostics for enhanced reliability. His teaching and mentoring roles at Széchenyi István University reflect his dedication to knowledge transfer and educational impact in autonomous robotics. Through his combined research, engineering practice, and leadership, he has contributed to advancing LiDAR-driven perception, real-time mapping, and autonomous vehicle intelligence, marking him as a promising innovator in the field of intelligent mobility and robotic automation.
Profiles: Orcid
Featured Publications
Barham Farraj, B. J., Alabdallah, A., Unger, M., & Horváth, E. (2025, October 31). Enhancing autonomous navigation: Real-time LiDAR detection of roads and sidewalks in ROS 2. Engineering Proceedings, 113(24). https://doi.org/10.3390/engproc2025113024
Krecht, R., Alabdallah, A. M. A., & Barham Farraj, B. J. (2025, October 28). Evaluation of SLAM methods for small-scale autonomous racing vehicles. Engineering Proceedings, 113(9). https://doi.org/10.3390/engproc2025113009
Alabdallah, A., Barham Farraj, B. J., & Horváth, E. (2025, October 28). ROS 2-based framework for semi-automatic vector map creation in autonomous driving systems. Engineering Proceedings, 113(13). https://doi.org/10.3390/engproc2025113013