Moustafa El Gindy
Papers
2
Total Citations
11
H-Index
2
About
Moustafa El Gindy is a researcher focused on autonomous vehicle navigation, with a particular emphasis on path planning for complex, articulated vehicles. His major contributions center on developing optimal path planning algorithms for autonomous articulated vehicles with multiple trailers, addressing the significant challenges of maneuvering such long, multi-body systems. His most cited work proposes a novel algorithm that combines the artificial potential field (APF) method with optimal control theory, using a linear two-degree-of-freedom vehicle model to generate efficient and collision-free paths. While his citation counts are currently modest—with his top-cited paper reaching 8 citations—his work represents a specialized and technically demanding area of autonomous navigation, tackling the practical difficulties of controlling vehicles with two trailers. This research is particularly relevant for applications in freight transport, agriculture, and logistics, where such vehicle configurations are common. El Gindy’s contributions provide a foundational approach to a niche but critical problem in the field of autonomous systems.
Research Focus
Key Achievements
Top Papers
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