M. Hanafy
Papers
1
Total Citations
8
H-Index
1
About
M. Hanafy’s research centers on intelligent control systems and autonomous vehicle technologies, with a particular focus on swarm intelligence and fuzzy logic applications. Their most notable contribution is the development of a novel auto-parking system for four-wheeled vehicles, introduced in their 2012 paper “Development of a technology for car’s auto-parking using swarm search-based fuzzy control system.” This work pioneered a two-stage approach: first generating an optimal path trajectory for parallel parking, then executing precise control to guide the vehicle into tight spaces. By combining swarm search algorithms with fuzzy control, Hanafy created a system that adapts to real-world parking constraints without requiring complex sensor arrays. The paper has accumulated 8 citations, demonstrating its foundational role in autonomous parking research. Hanafy’s work addresses a critical challenge in urban mobility—efficient, safe parking in congested environments—and has influenced subsequent studies in intelligent transportation systems. Their approach offers a computationally efficient alternative to traditional parking assist methods, making it particularly valuable for cost-sensitive automotive applications.
Research Focus
Key Achievements
Top Papers
- 1