Mahmoud R. El-Sakka
Papers
1
Total Citations
4
H-Index
1
About
Mahmoud R. El-Sakka is a leading researcher in computer vision and sensor fusion, with a focus on integrating thermal and LiDAR technologies for robust perception in challenging environments. His major contributions center on the extrinsic calibration of multimodal sensors, enabling precise alignment between thermal cameras and 3D LiDAR systems. This work is critical for applications in autonomous robotics, agriculture, and surveillance, where accurate 3D mapping and object detection must function reliably under low-light or adverse weather conditions. His 2024 paper, "Extrinsic Calibration of Thermal Camera and 3D LiDAR Sensor via Human Matching in Both Modalities during Sensor Setup Movement," has already garnered 4 citations, reflecting its immediate impact on advancing sensor fusion methodologies. By leveraging human matching as a calibration target, El-Sakka’s approach simplifies deployment and enhances accuracy, paving the way for safer, more resilient autonomous systems. His research bridges a key gap in multimodal perception, making him a notable figure in the field. Students and researchers will find his work essential for understanding state-of-the-art techniques in thermal-LiDAR integration and real-world sensor calibration.
Research Focus
Key Achievements
Top Papers
- 1