Suleyman Yildirim
Papers
2
Total Citations
6
H-Index
2
About
Dr. Suleyman Yildirim is pioneering the integration of computer vision and robotics to automate one of aviation's most critical ground operations: aircraft refuelling. His research focuses on developing intelligent, vision-guided systems that enable autonomous ground vehicles to perform precise refuelling tasks. Dr. Yildirim’s major contributions lie in creating high-level robotic vision solutions for real-time object localisation and pose estimation, moving beyond traditional low-level algorithms. His work on a "Vision Guided Real-Time Trajectory Planning System" demonstrates a novel approach using hybrid datasets to achieve the accuracy and speed required for safe, autonomous manipulation. By tackling the core challenge of accurate 3D visual servoing, his research directly addresses the need for robust object detection in dynamic environments. While his most-cited papers, including his 2021 work on autonomous ground refuelling, have garnered early attention (4 and 2 citations respectively), they represent foundational steps toward a future of safer, more efficient airport ground operations. Dr. Yildirim’s work is a compelling example of applied robotics, bridging the gap between computer vision theory and practical, high-stakes industrial automation.
Research Focus
Key Achievements
Top Papers
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- 2