Research of Autonomous Driving Capabilities Utilizing Computer Vision in a Formula SAE Vehicle

The primary goal of this project is to research and develop an autonomous 1:10 scale car, the GRmini. GRmini serves as a small-scale vehicle prototype for developing and testing driverless software. Using the open-source Formula Student Objects in Context (FSOCO) dataset, which is specifically for the cones used in competition, the project will develop a path-planning algorithm that integrates object detection with speed control to navigate corners and the course. This work will allow Gaucho Racing to later integrate our software and hardware findings into the full-sized Formula SAE racecar.