Amirkabir University of Technology Amirkabir Journal of Mechanical Engineering 2008-6032 53 6 2021 08 23 Modeling of the pilot's depth perception algorithm to avoid collisions with obstacles for commercial aircraft landing Modeling of the pilot's depth perception algorithm to avoid collisions with obstacles for commercial aircraft landing 3497 3510 4401 10.22060/mej.2021.18760.6884 FA Maryam Mobini Bidgoli Aerospace Engineering, Amirkabir Univ. of Technology Mehdi Sabzeh Parvar Aerospace Dept,Amirkabir Univ. of Technology,Tehran,Iran 0000-0002-8228-6000 Journal Article 2020 07 22 This paper proposes a novel method for depth perception based on the performance of the human eye in the landing phase navigation of a fixed-wing aircraft. The proposed system is designed for situations where visibility is limited, there is no necessary infrastructure at the airport or navigation instruments that have problems and provide incorrect information. The inertial measurement unit and digital elevation model data are integrated to estimate the position of the aircraft and simulate the landing area at more than 200 feet. Reducing the height to 200 feet, the forward-looking infrared camera data is added to the system input. So, the environment map is updated in real-time in landing. At this stage, to depth perception, accommodation cue of the human eye is added to the simulation. In this study, the post-rendering Gaussian method to implement depth of field is used. Simulation results evaluated by using the standard of quality measurement of the visual system of flight simulation training devices and the results confirm the accuracy of the proposed method in terms of resolution, the field of view, frame per second and latency. This paper proposes a novel method for depth perception based on the performance of the human eye in the landing phase navigation of a fixed-wing aircraft. The proposed system is designed for situations where visibility is limited, there is no necessary infrastructure at the airport or navigation instruments that have problems and provide incorrect information. The inertial measurement unit and digital elevation model data are integrated to estimate the position of the aircraft and simulate the landing area at more than 200 feet. Reducing the height to 200 feet, the forward-looking infrared camera data is added to the system input. So, the environment map is updated in real-time in landing. At this stage, to depth perception, accommodation cue of the human eye is added to the simulation. In this study, the post-rendering Gaussian method to implement depth of field is used. Simulation results evaluated by using the standard of quality measurement of the visual system of flight simulation training devices and the results confirm the accuracy of the proposed method in terms of resolution, the field of view, frame per second and latency. https://mej.aut.ac.ir/article_4401_907a2393d19cbc50e38a50d851d244e5.pdf