Aboelmagd Noureldin

Royal Military College of Canada, Queen's University

Papers

13

Total Citations

251

H-Index

7

About

Aboelmagd Noureldin is a prominent researcher specializing in navigation systems, sensor fusion, and autonomous positioning technologies. His work sits at the intersection of inertial navigation, GNSS, and multi-sensor integration, with a particular focus on developing robust solutions for environments where conventional positioning systems fail. Noureldin has made significant contributions to indoor and outdoor navigation by pioneering integrated systems that fuse inertial sensors, LiDAR, WiFi signals, odometry, and machine learning — most notably his 2015 work on autonomous 3D indoor navigation for ground vehicles, which has garnered nearly 100 citations. His research addresses critical real-world challenges such as GPS-denied environments, pipeline inspection, and autonomous vehicle localization in complex urban settings. He has advanced particle filtering techniques for nonlinear navigation problems and explored machine vision for 3D structural reconstruction. More recently, Noureldin contributed the NavINST multisensory dataset, supporting the broader autonomous navigation research community. With work spanning mobile robotics, self-driving vehicles, and civil infrastructure monitoring, his cumulative impact reflects a career dedicated to making positioning systems more reliable, accurate, and adaptable across demanding real-world applications.

Research Focus

Key Achievements

7
H-Index
13
Papers
251
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Integrated Indoor Navigation System for Ground Vehicles With Automatic 3-D Alignment and Position Initialization
99 citations · 2015
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Royal Military College of Canada, Queen's University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago