Location Estimation with Timeseries Forecasting Using HA Telemetry Data

It is expected that seq2seq deep learning methods will be researched and a demo application will be developed in order to perform more accurate odometry in non-GNSS environments using the telemetry data of the aircraft. Within the scope of the project, the position of the aircraft in the future will be estimated by using sensor data received from the aircraft with time series forecasting methods. At the end of the project, it is expected to make position estimation using other sensors of the aircraft in an environment without GNSS information.