Human pilots are trained to perform piloting tasks that are required during the different phases of the flight.
#EXTREME LANDINGS PRO REVIEW FULL#
The proposed IAS is a novel approach towards achieving full control autonomy of large jets using ANN models that match the skills and abilities of experienced human pilots and beyond. In addition, experiments show that the IAS can handle landing in extreme weather conditions beyond the capabilities of modern autopilots and even experienced human pilots.
Experiments show that small datasets containing single demonstrations are sufficient to train the IAS and achieve excellent performance by using clearly separable and traceable neural network modules which eliminate the black-box problem of large Artificial Intelligence methods such as Deep Learning.
In addition, we introduce new ANNs trained to control the aircraft’s elevators, elevators’ trim, throttle, flaps, and new ailerons and rudder ANNs to counter the effects of extreme weather conditions and land safely. The control models imitate the skills of the human pilot when executing all the piloting tasks required to pilot an aircraft between two airports. The training data is used by Artificial Neural Networks to generate control models automatically. In this paper, we present the work done by collaborating with the aviation industry to provide training data for the IAS to learn from. The IAS is a potential solution to the limitations and robustness problems of modern autopilots such as the inability to execute complete flights, the inability to handle extreme weather conditions especially during approach and landing where the aircraft’s speed is relatively low, and the uncertainty factor is high, and the pilots shortage problem compared to the increasing aircraft demand. In addition, the IAS is capable of autonomously landing large jets in the presence of extreme weather conditions including severe crosswind, gust, wind shear, and turbulence. The IAS is capable of autonomously executing the required piloting tasks and handling the different flight phases to fly an aircraft from one airport to another including takeoff, climb, cruise, navigate, descent, approach, and land in simulation. Fast landing mode with global competition and 5 fault levels.We describe the Intelligent Autopilot System (IAS), a fully autonomous autopilot capable of piloting large jets such as airliners by learning from experienced human pilots using Artificial Neural Networks. 20 HD airports (4 included + 16 available for purchase) 216 challenges 6 of which in global competitions (18 included + 198 available for purchase) 36 missions (6 included + 30 available for purchase)
#EXTREME LANDINGS PRO REVIEW SIMULATOR#
The simulator includes 36 missions to accomplish, 216 challenges to pass, cartography and worldwide navigation with over 500 accurate airports replicas as well as real time weather conditions. Start each engine individually, navigate between the equipment dashboard panels and be ready to solve over 5,000 possible situations in order to reach the highest pilot ranking. Test your piloting skills and handle the most critical flight conditions known to man.Ĭope with emergencies and incidents inspired by real life scenarios in a climactic adrenaline rush.