FUSCD - Future Smart Car Driver
Nisar Ali, Mohammad Reza Bonyadi, Muhammad Adil Raja, Junaid Akhtar, Noman Javed, Conor Ryan · 2019
Autonomous driving is one of the newly emerging feats in artificial intelligence (AI). The challenge in developing autonomous cars is to design controllers that can steer a vehicle in the right direction with enough speed. A good controller activates a set of multiple actuators simultaneously. The output of the controller is a function of the sensory inputs. Nowadays, controllers are mostly developed by connecting a car simulator with a machine learning (ML) algorithm. The simulator provides a pragmatic environment for simulated cars. The ML algorithm, on the other hand, does the job of an expert human controller designer; it designs the controllers on behalf of the latter. In our case, we use a famous car racing simulator called TORCS (The Open Racing Car Simulator). This paper proposes a new controller for TORCS that helps cars win races with grace. We also propose a novel strategy to design smart controllers using ML algorithms. Our controller is called FUSCD (Future Smart Car Driver).