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Article
Publication date: 27 June 2008

E. Menegatti, G. Gatto, E. Pagello, Takashi Minato and Hiroshi Ishiguro

Image‐based localisation has been widely investigated in mobile robotics. However, traditional image‐based localisation approaches do not work when the environment appearance…

Abstract

Purpose

Image‐based localisation has been widely investigated in mobile robotics. However, traditional image‐based localisation approaches do not work when the environment appearance changes. The purpose of this paper is to propose a new system for image‐based localisation, which enables the approach to work also in highly dynamic environments.

Design/methodology/approach

The proposed technique is based on the use of a distributed vision system (DVS) composed of a set of cameras installed in the environment and of a camera mounted on a mobile robot. The localisation of the robot is achieved by comparing the current image grabbed by the robot with the images grabbed, at the same time, by the DVS. Finding the DVS's image, most similar to the robot's image, gives a topological localisation of the robot.

Findings

Experiments reported in the paper proved the system to be effective, even exploiting a pre‐existent DVS not designed for this application.

Originality/value

Whilst, aware that DVSs, as the one used in this work, are not diffuse nowadays, this work is significant because a novel idea is proposed for dealing with dynamic environments in the image‐based localisation approach and the idea is validated with experiments. Camera Sensor networks currently are an emerging technology and they may be introduced in several daily environments in the future.

Details

Sensor Review, vol. 28 no. 3
Type: Research Article
ISSN: 0260-2288

Keywords

Article
Publication date: 5 April 2013

Midori Kawabe, Hiroshi Kohno, Reiko Ikeda, Takashi Ishimaru, Osamu Baba, Naho Horimoto, Jota Kanda, Masaji Matsuyam, Masato Moteki, Yayoi Oshima, Tsuyoshi Sasaki and Minlee Yap

The purpose of this paper is to draw lessons for developing community‐university partnerships from experiences in promoting coastal education for sustainable development (ESD).

Abstract

Purpose

The purpose of this paper is to draw lessons for developing community‐university partnerships from experiences in promoting coastal education for sustainable development (ESD).

Design/methodology/approach

Qualitative data collected from two coastal community outreach projects were analyzed.

Findings

The outreach projects improved the relationship between university and community members. It is important to conduct interviews at the early stages of the projects to understand the needs of the community and set project outcomes to meet community‐defined priorities. The most effective means for promoting an ESD program based upon community‐university partnerships is to reach out to and network with local individuals who have been active in community projects and embed the program concept into the activities of those individuals. Mediators who link the academic community with the local community are helpful in promoting the partnerships, and university students were found to be successful mediators.

Originality/value

On the basis of the experiences gained from starting an ESD program in the community, this research provides some clues to initiate service learning or community‐based research based upon community‐university partnerships.

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