49 citations · 54 across the 2 of their papers we have counts for
3 papers
Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation
Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran +1
Data scarcity is a bottleneck to machine learning-based perception modules, usually tackled by augmenting real data with synthetic data from simulators. Realistic models of the veh…
End-to-end sensor modeling for LiDAR Point Cloud
Khaled Elmadawi, Moemen Abdelrazek, Mohamed Elsobky +2
Advanced sensors are a key to enable self-driving cars technology. Laser scanner sensors (LiDAR, Light Detection And Ranging) became a fundamental choice due to its long-range and…
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving
Mennatullah Siam, Heba Mahgoub, Mohamed Zahran +3
We propose a novel multi-task learning system that combines appearance and motion cues for a better semantic reasoning of the environment. A unified architecture for joint vehicle…