Aboelmagd Noureldin
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
Top Papers
- 1
- 2Enhanced mobile robot outdoor localization using INS/GPS integration37 citations · 2009
- 3
- 4
- 5
- 6
- 7The NavINST Dataset for Multi-Sensor Autonomous Navigation7 citations · 2025
- 8
- 9
- 10Low-cost Indoor Vision-Based Navigation for Mobile Robots4 citations · 2020