Genetic Optimization for Self-Driving Vehicles Based on Automated Behavior Cloning Convolutional Neural Network
Ahmed mohamed gouda,
Kamel Rahouma,
ahmed donkol
Abstract:Recently, autonomous driving technology has learned to drive safely and smoothly. Nonetheless, using convolutional neural networks (CNNs) has significantly influenced designs of autonomous driving technology. Most current designs of CNN-based autonomous driving technology are built manually by specialists in both CNNs and the investigated topics. Thus, finding the optimum CNN designs for learning safe driving behavior is complex. This study uses genetic algorithms to construct automated genetic behavior clonin… Show more
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