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A FastSLAM-based Algorithm for Omnidirectional Cameras

Author(s): Cristina Gamallo | Manuel Mucientes | Carlos V. Regueiro

Journal: Journal of Physical Agents
ISSN 1888-0258

Volume: 7;
Issue: 1;
Start page: 13;
Date: 2013;
Original page

Keywords: Simultaneous Localization and Mapping | FastSLAM | Omnidirectional camera | Hungarian Association

Environments with a low density of landmarks are difficult for vision-based Simultaneous Localization and Mapping (SLAM) algorithms. The use of omnidirectional cameras, which have a wide field of view, is specially interesting in these environments as several landmarks are usually detected in each image. A typical example of this kind of situation happens in indoor environments when the lights placed on the ceiling are the landmarks. The use of omnivision combined with this type of landmarks presents two challenges: the data association and the initialization of the landmarks with a bearing-only sensor. In this paper we present a SLAM algorithm  based on the well-known FastSLAM approach. The proposal includes a novel hierarchical data association method based on the Hungarian algorithm, and a delayed initialization of the landmarks. The approach has been tested on a real environment with a Pioneer 3-DX robot.
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