EuroGNC 2019 Paper Abstract

Close

Paper FrM23.3

Klos, Andreas (FernUniversität), Lenhardt, Jörg (FernUniversität), Klein, Marius (FernUniversität in Hagen), Schiffmann, Wolfram (FernUniversität in Hagen)

Multi-Modal Image Processing Pipeline for a Reliable Emergency Landing Field Identification

Scheduled for presentation during the Regular Session "Guidance" (FrM23), Friday, April 5, 2019, 12:00−12:30, BL281.2

5th CEAS Conference on Guidance, Navigation and Control, April 3-5, 2019, Milano, Italy

This information is tentative and subject to change. Compiled on March 28, 2024

Keywords Vision-based navigation

Abstract

If the pilot of an aircraft is forced to perform an emergency landing, quick and reliable decisions regarding the flight path are necessary. Besides, it is not guaranteed that a published landing field is located within reach. In such a situation the selection of an appropriate emergency landing field denotes a crucial task for the pilot. The choice of a suitable emergency landing field influences the damage of the aircraft, the civil population, the crew as well as passengers on board. Based on public available geodata, we developed an application that automatically identifies emergency landing fields by an appropriate operation sequence of an image processing pipeline. Our approach is based on satellite imagery, rasterized road maps, and interpolated digital elevation models. The chosen image processing pipeline consists of eight consecutive steps. The results proved that our approach is capable of a reliable identification of appropriate emergency landing fields for a certain parametrization of the applied algorithms. The found emergency landing fields are stored in a MySQL database for fast access, even in the case of instrument meteorological conditions.

 

 

All Content © PaperCept, Inc.

This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2024 PaperCept, Inc.
Page generated 2024-03-28  06:05:41 PST  Terms of use