Distance FSAI

This project is created for Coventry University's Formula Student AI team. The purpose of the project is to correctly calculate the distance between the FSAI car and the cones around it. It will utilise depth data images provided by a Zed Camera unit and it will make use of a CNN that encapsulates the cones in bounding boxes. Furthermore It will utilise a clustering algorithm that will separate the cones from the ground. Provided that it knows which point cloud points belong to the cone, the code will provide an avarage distance based on those points.

The methods used in this project can be applied to various other problems in the field of Computer Vision. It might also shed light to other methods that are not used in set fields.