activity
20172022
most citedEnd-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies

70 citations · 105 across the 8 of their papers we have counts for

collaborators

9 papers

cs.RO202230 cited

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…

cs.RO2022

Collision-Free Navigation using Evolutionary Symmetrical Neural Networks

Hesham M. Eraqi, Mena Nagiub, Peter Sidra

Collision avoidance systems play a vital role in reducing the number of vehicle accidents and saving human lives. This paper extends the previous work using evolutionary neural net…

cs.CL2021

ASMDD: Arabic Speech Mispronunciation Detection Dataset

Salah A. Aly, Abdelrahman Salah, Hesham M. Eraqi

The largest dataset of Arabic speech mispronunciation detections in Egyptian dialogues is introduced. The dataset is composed of annotated audio files representing the top 100 word…

cs.CV20213 cited

An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation

Amr S. Mohamed, Ali Abdelkader, Mohamed Anany +5

LiDARs and cameras are the two main sensors that are planned to be included in many announced autonomous vehicles prototypes. Each of the two provides a unique form of data from a…

cs.CV20212 cited

Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading

Shahd Elashmawy, Marian Ramsis, Hesham M. Eraqi +4

Despite the advancement in the domain of audio and audio-visual speech recognition, visual speech recognition systems are still quite under-explored due to the visual ambiguity of…

cs.SD2021

Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning

Ahmed Ibrahim, Ayman El-Refai, Sara Ahmed +3

Due to the mass advancement in ubiquitous technologies nowadays, new pervasive methods have come into the practice to provide new innovative features and stimulate the research on…