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• W2007079389 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." @default.
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• W2007079389 date "2007-01-13" @default.
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• W2007079389 title "Monocular Vision for Mobile Robot Localization and Autonomous Navigation" @default.
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• W2007079389 doi "https://doi.org/10.1007/s11263-006-0023-y" @default.
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