Saifeldin Hassan

Rochester Institute of Technology - Dubai

Papers

Total Citations

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About

Saifeldin Hassan is a leading researcher in the field of autonomous robotics, with a primary focus on Visual Simultaneous Localization and Mapping (V-SLAM). His work addresses a critical challenge in modern robotics: enabling machines to navigate and map dynamic, real-world environments with high precision. Hassan’s most influential contribution, the comprehensive survey “A Survey of Visual SLAM Methods” (2023), has already garnered 36 citations, reflecting its immediate impact as a foundational resource for both new and experienced researchers. This work systematically analyzes the evolution of V-SLAM over two decades, highlighting the shift from static-environment assumptions to robust methods capable of handling moving objects and changing scenes. By synthesizing key algorithms, benchmarks, and open problems, Hassan’s survey serves as a vital roadmap for advancing autonomous navigation in applications ranging from drones to self-driving cars. His research not only consolidates existing knowledge but also identifies critical gaps, driving innovation toward more adaptive and resilient robotic systems. For students and scholars entering the field, Hassan’s work offers an essential starting point for understanding the past, present, and future of visual SLAM.