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Indoor Autonomous Navigation of Low-Cost MAVs Using Landmarks and 3D Perception

Abstract : We present an implementation of autonomous nav- igation for Micro Air Vehicles which is well-suited for very inexpensive models: It reies on a bottom and a front camera, and few additional on-board sensors to solve the challenges of flight planning and collision avoidance. Artificial landmarks may be used in specific places (lines in narrow corridors) and in places with an ambiguous further flight path, such as corridor crossings or junctions. For the latter case, they thus provide topological localization, which enables our system to perform tasks like way point following. Even without any 3D sensor, our system is also able to reconstruct metric distances from its monocular camera via two complementary methods: An oscillating motion pattern is superimposed to regular flight to reliably estimate up-to-date 3D positions of sparse image features. As an alternative, a specific flight maneuver can virtually create a vertical stereo camera to provide depth information densely across most pixels at single points in time.
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https://hal.telecom-paris.fr/hal-02412032
Contributor : Telecomparis Hal <>
Submitted on : Sunday, December 15, 2019 - 12:42:32 PM
Last modification on : Friday, July 31, 2020 - 11:28:04 AM

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  • HAL Id : hal-02412032, version 1

Citation

Ludovic Apvrille, Jean-Luc Dugelay, Benjamin Ranft. Indoor Autonomous Navigation of Low-Cost MAVs Using Landmarks and 3D Perception. OCOSS 2013, Oct 2013, Nice, France. ⟨hal-02412032⟩

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