An Experimental Platform for Implementing Advanced Algorithms in Scaled Autonomous Cars

Many universities across the world are doing breakthrough research in the field of autonomous cars, but only a few universities have the financial and legal means to operate a full-scale autonomous car. Some institutions have continued to research on autonomous cars using scaled platforms to varying degrees of success, but the question has always remained that these scaled platforms are limited in their capabilities thus limiting their research usefulness. In this thesis, we present a case for implementing high level computer vision based navigation on scaled autonomous cars to prove that the scaled autonomous car platforms are an effective research tool.