30 citations · 39 across the 3 of their papers we have counts for
3 papers
Dynamic Conditional Imitation Learning for Autonomous Driving
Hesham M. Eraqi, Mohamed N. Moustafa, Jens Honer
Conditional imitation learning (CIL) trains deep neural networks, in an end-to-end manner, to mimic human driving. This approach has demonstrated suitable vehicle control when foll…
CIFAR-10: KNN-based Ensemble of Classifiers
Yehya Abouelnaga, Ola S. Ali, Hager Rady +1
In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and build an ensemble of classifiers to reach a better performance. We show that, on CIFAR…
Reactive Collision Avoidance using Evolutionary Neural Networks
Hesham Eraqi, Youssef EmadEldin, Mohamed Moustafa
Collision avoidance systems can play a vital role in reducing the number of accidents and saving human lives. In this paper, we introduce and validate a novel method for vehicles r…