3 papers
cs.CV2025
A Graph Attention Network-Based Framework for Reconstructing Missing LiDAR Beams
Khalfalla Awedat, Mohamed Abidalrekab, Mohammad El-Yabroudi
Vertical beam dropout in spinning LiDAR sensors triggered by hardware aging, dust, snow, fog, or bright reflections removes entire vertical slices from the point cloud and severely…
cs.CV2025
SuperiorGAT: Graph Attention Networks for Sparse LiDAR Point Cloud Reconstruction in Autonomous Systems
Khalfalla Awedat, Mohamed Abidalrekab, Gurcan Comert +1
LiDAR-based perception in autonomous systems is constrained by fixed vertical beam resolution and further compromised by beam dropout resulting from environmental occlusions. This…
eess.IV2020
COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches
Khalfalla Awedat, Almabrok Essa
One of the most serious global health threat is COVID-19 pandemic. The emphasis on improving diagnosis and increasing the diagnostic capability helps stopping its spread significan…