852 citations · 1k across the 4 of their papers we have counts for
4 papers
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving
Mohammed Abdou, Mahmoud Elkhateeb, Ibrahim Sobh +1
3D semantic scene labeling is a fundamental task for Autonomous Driving. Recent work shows the capability of Deep Neural Networks in labeling 3D point sets provided by sensors like…
Meta learning Framework for Automated Driving
Ahmad El Sallab, Mahmoud Saeed, Omar Abdel Tawab +1
The success of automated driving deployment is highly depending on the ability to develop an efficient and safe driving policy. The problem is well formulated under the framework o…
Deep Reinforcement Learning framework for Autonomous Driving
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the environment and learning from their mistakes. Despi…
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the environment and learning from their mistakes, but i…