Most racing car scenarios are built with manual racing controls. This project is aimed at autonomous racing using advanced Machine Learning and Deep Learning algorithms.
Racing cars have always tested the limits of our understanding of path optimizations along with acceleration and declaration of the vehicle on a winding track. Once multiple racing cars are introduced the driver of the vehicle must not only optimize the path but avoid any obstacles (cars) in the path. This makes it a very complex problem to solve for an autonomous vehicle. This project aims to take up this challenge in a phased approach.
