Localization in urban environments: monocular vision compared to a differential GPS sensor

被引：0

作者：

Royer, E ^{[1
]}

Lhuillier, M ^{[1
]}

Dhome, M ^{[1
]}

Chateau, T ^{[1
]}

机构：

[1] CNRS, LASMEA, UMR6602, F-63177 Clermont Ferrand, France

来源：

2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS | 2005年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present a method for computing the localization of a mobile robot with reference to a learning video sequence. The robot is first guided on a path by a human, while the camera records a monocular learning sequence. Then a 3D reconstruction of the path and the environment is computed off line from the learning sequence. The 3D reconstruction is then used for computing the pose of the robot in real time (30 Hz) in autonomous navigation. Results from our localization method are compared to the ground truth measured with a differential GPS.

引用

页码：114 / 121

页数：8

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