Towards Vision-Based Autonomous Landing for Small Unmanned Air Vehicles: Image Processing Hardware Development
Hanns-Walter Schulz · Journal of Aerospace Computing Information and Communication · 2008
This paper describes the development of intelligent vision capabilities for small-unmanned aerial vehicles as part of the program CAROLO at the Technische Universitat Braunschweig, Germany. The development’s objective is to create appropriate hardware that suits the requirements of small- unmanned aerial vehicles (5 kg maximum takeoff weight). Enabling vision-based flight guidance during landing was chosen as the first task and acts as a technology demonstrator for future payload-driven vision capabilities. The paper describes the developed image processing hardware and its capabilities.Attention is also paid to implementing image processing algorithms for detecting a known landing point marker and computing its relative position and attitude.