Autonomous Guidance for a UAS Along a Staircase

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9474)


In the quest for fully autonomous unmanned aerial systems (UAS), multiple challenges are faced. For enabling autonomous UAS navigation in indoor environments, one of the major bottlenecks is the capability to autonomously traverse narrow 3D - passages, like staircases. This paper presents a novel integrated system that implements a semi-autonomous navigation system for a quadcopter. The navigation system permits the UAS to detect a staircase using only the images provided by an on-board monocular camera. A 3D model of this staircase is then automatically reconstructed and this model is used to guide the UAS to the top of the detected staircase. For validating the methodology, a proof of concept is created, based on the Parrot AR.Drone 2.0 which is a cheap commercial off-the-shelf quadcopter.


Extend Kalman Filter Agglomerative Cluster Autonomous Navigation Unmanned Aerial System Robot Operating System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement number 285417 (ICARUS).


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Royal Military AcademyBrusselsBelgium

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