- Getting an idea of classical path planning algorithms used in navigating an unknown environment We implemented these 2D algorithms using gui libraries in C++ and Python. This is organized under /simulations_2d
- Implementing a naive approach of hard-coding positions of the gate, and commanding the UAV to the centre coordinates; which are in turn obtained by classical detection methods. The source code and simulation demo for this can be found under /naive_fpv_simul
- Implementing an intelligent system to navigate at efficient trajectories. We are re-implementing the approach demonstrated recenetly by UZH - "Champion-level drone racing using deep reinforcement learning". We are aiming to mould the approach in order to make it more robust, at the expense of time or efficiency.