Visual-inertial SLAM for a small helicopter in large outdoor environments.

IROS(2012)

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摘要
In this video, we present our latest results towards fully autonomous flights with a small helicopter. Using a monocular camera as the only exteroceptive sensor, we fuse inertial measurements to achieve a self-calibrating power-on-and-go system, able to perform autonomous flights in previously unknown, large, outdoor spaces. Our framework achieves Simultaneous Localization And Mapping (SLAM) with previously unseen robustness in onboard aerial navigation for small platforms with natural restrictions on weight and computational power. We demonstrate successful operation in flights with altitude between 0.2-70 m, trajectories with 350 m length, as well as dynamic maneuvers with track speed of 2 m/s. All flights shown are performed autonomously using vision in the loop, with only high-level waypoints given as directions.
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关键词
SLAM (robots),autonomous aerial vehicles,cameras,helicopters,inertial navigation,microrobots,path planning,robot vision,autonomous flights,exteroceptive sensor,helicopter,high-level waypoints,inertial measurements,monocular camera,onboard aerial navigation,outdoor environments,self-calibrating power-on-and-go system,simultaneous localization and mapping,visual-inertial SLAM
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