Abstract
After years of experiences regarding enhanced and synthetic vision research projects in the fixed wing domain, the DLR’s Institute of Flight Guidance is now addressing helicopter applications as well. The project ALLFlight is one example. The main objective of this project is to demonstrate and evaluate the characteristics of different sensors for helicopter operations within degraded visual environments, such as brownout or whiteout. Radar, Lidar, IR and TV cameras are part of this sensor-suite. Although this project aims for the large solution of the brownout problem, there are also simple small solutions investigated, which can be installed in low cost helicopters as well. The following paper is dealing with such an approach.
We assume a pair of off-the-shelf vertical looking cameras and an inertial attitude system, which are feeding their data into a low-budget processing system. The outcome consists of the helicopter’s lateral drift and its altitude above the ground. These data can be shown easily to the pilot on a cheap display. The paper describes the proposed setup and methods for drift and height measuring.
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Doehler, HU., Peinecke, N. (2010). Image-Based Drift and Height Estimation for Helicopter Landings in Brownout. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_37
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DOI: https://doi.org/10.1007/978-3-642-13775-4_37
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