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A Fully Autonomous Indoor Quadrotor

Recently there has been an increased interest in the development of autonomous flying vehicles. Whereas most of the proposed approaches are suitable for outdoor operation, only a few techniques have been designed for indoor environments, where the systems cannot rely on GPS and therefore have to use their exteroceptive sensors for navigation. Here, we present videos demonstrating our general navigation system which enables a small-sized quadrotor systems to autonomously operate in indoor environments. To achieve this, we systematically extend and adapting techniques which have been successfully applied on ground robots.

Related documents:
PhdThesis: Mapping, State Estimation, and Navigation for Quadrotors and Human-Worn Sensor Systems
TRO Journal paper (2012): A Fully Autonomous Indoor Quadrotor
RSS WS Paper (2011): 3D Place Recognition and Object Detection using a Small-Sized Quadrotor
ICRA 09: Towards a Navigation System for Autonomous Indoor Flying
see also www.slawomir.de

Videos

Localization in a known map
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SLAM and first autonomous hovering and waypoint following tests:
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Autonomous Flight and Map building (SLAM) in our corridor:
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Our Multi-Level mapping:
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Improved path plannig and dynamic obstacle avoidance:
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Our quadrotor equipped with a fuel-cell prototype from TU-Berlin:
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