Deep Learning Approach for Unmanned Aerial Vehicle Landing

It is one of the biggest challenges to land an unmanned aerial vehicle (UAV). Landing it by making its own decisions almost impossible even if progress has been made in developing deep learning algorithms, which are doing a great job Artificial Intelligence sector. But these algorithms require large amount data get optimum results. For Type-I civilization collecting while landing UAV on another planet not feasible. there hack all required can be collected creating simulation that cost-effective, time-saving, and safe too. This small step toward Intelligent make surface other than Earth's surface. Therefore, created inside gaming engine from training collected. And using data, neural networks trained. Also deployed those trained models into checked their performance