Gökmen-PG (Path Guide)

GÖKMEN-PG (Path Guide) is a rotary-wing unmanned aerial vehicle capable of performing real-time autonomous navigation based on deep learning methods in non-human environments such as forests or challenging indoor/outdoor settings where GNSS satellite signals are not accessible.

Autonomous navigation in an unknown or uncertain environment is one of the challenging tasks for unmanned vehicles. To overcome this challenge, it is necessary to have advanced high-level control methods that are capable of learning and adapting to changing conditions. Until recently, this challenge has been addressed by using hardware such as GPS and Lidar. However, factors such as the absence of satellite signals in challenging environmental conditions or the low efficiency of their simultaneous operation necessitate the creation of new technologies.

Gökmen-PG offers a solution for simultaneous navigation and environmental awareness in unknown environments by eliminating all the disadvantages of GPS and Lidar through a deep learning-based convolutional neural network methodology. This solution is especially anticipated to be used in fields such as search/rescue, security, and autonomous vehicles within the defense industry.