81 citations · 197 across the 15 of their papers we have counts for
3 papers · 1 filter
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…
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…
Static Free Space Detection with Laser Scanner using Occupancy Grid Maps
Hesham M. Eraqi, Jens Honer, Sebastian Zuther
Drivable free space information is vital for autonomous vehicles that have to plan evasive maneuvers in real-time. In this paper, we present a new efficient method for environmenta…