This project is a demonstration of low cost and hardware
constrained implementation of a Autonomous Navigation system simulating a
Autonomous Vehicle in a scaled down version, typically for the purpose
of Lane Detection and Navigation.It features the use of Convolution
Neural Networks for the Inference engine along with various Deep
Learning models for the purpose of training the autonomous agent for
self driving.
Research and Publications -
