Monocular Vision for Mobile Robot Localization and Autonomous Navigation |
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Authors: | Eric Royer Maxime Lhuillier Michel Dhome Jean-Marc Lavest |
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Affiliation: | (1) LASMEA, UMR6602 CNRS and Université Blaise Pascal, 24 Avenue des Landais, 63177 Aubière, France |
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Abstract: | This paper presents a new real-time localization system for a mobile robot. We show that autonomous navigation is possible
in outdoor situation with the use of a single camera and natural landmarks. To do that, we use a three step approach. In a
learning step, the robot is manually guided on a path and a video sequence is recorded with a front looking camera. Then a
structure from motion algorithm is used to build a 3D map from this learning sequence. Finally in the navigation step, the
robot uses this map to compute its localization in real-time and it follows the learning path or a slightly different path
if desired. The vision algorithms used for map building and localization are first detailed. Then a large part of the paper
is dedicated to the experimental evaluation of the accuracy and robustness of our algorithms based on experimental data collected
during two years in various environments. |
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Keywords: | localization navigation vision mobile robot structure from motion |
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