Abdelhalim Zekry

Papers

1

Total Citations

5

H-Index

1

About

Abdelhalim Zekry is a researcher advancing the frontiers of autonomous navigation and intelligent transportation systems. His primary focus lies in real-time localization and mapping, with a particular emphasis on LiDAR-inertial systems for autonomous vehicles and robotics. Zekry’s most notable contribution is his 2023 work, "LiDAR-Inertial Localization with Ground Constraint in a Point Cloud Map," which has garnered 5 citations. This study introduces a novel framework that integrates LiDAR and inertial sensors with ground constraints to achieve highly accurate trajectory estimation within pre-existing point cloud maps—a critical capability for safe and reliable autonomous driving in complex urban environments. By addressing the challenge of real-time localization without reliance on GPS, his work directly supports the development of robust smart city infrastructure and autonomous vehicle systems. Zekry’s research is distinguished by its practical, application-driven approach, bridging the gap between theoretical sensor fusion and real-world deployment. His contributions are particularly valuable for students and engineers seeking to understand how multi-sensor integration and environmental constraints can overcome the limitations of traditional localization methods, making him a key voice in the evolution of autonomous mobility.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
LIDAR-INERTIAL LOCALIZATION WITH GROUND CONSTRAINT IN A POINT CLOUD MAP
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago