Mobile robot localization using infrared light reflecting landmarks

Sooyong Lee; Jae Bok Song

doi:10.1109/ICCAS.2007.4406984

Mobile robot localization using infrared light reflecting landmarks

Sooyong Lee, Jae Bok Song

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

22 Citations (Scopus)

Abstract

To achieve autonomous mobile robot navigation, accurate localization technique is the fundamental issue that should be addressed. This paper presents mobile robot localization using infrared reflective artificial landmarks. In order to minimize the disturbance to the user and to provide the ease of installation, the passive landmarks are used. The landmarks are made of coated film which reflects the infrared light efficiently. Infrared light is not visible, but the camera can capture the reflected infrared light. Once the artificial landmark is identified, the robot's relative position/orientation is estimated with respect to the landmark. In order to reduce the number of the required artificial landmarks for a given environment, the pan-tilt mechanism is developed together with the distortion correction algorithm.

Original language	English
Title of host publication	ICCAS 2007 - International Conference on Control, Automation and Systems
Pages	674-677
Number of pages	4
DOIs	https://doi.org/10.1109/ICCAS.2007.4406984
Publication status	Published - 2007
Event	International Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of Duration: 2007 Oct 17 → 2007 Oct 20

Publication series

Name	ICCAS 2007 - International Conference on Control, Automation and Systems

Other

Other	International Conference on Control, Automation and Systems, ICCAS 2007
Country	Korea, Republic of
City	Seoul
Period	07/10/17 → 07/10/20

Keywords

Artificial landmark
Image processing
Localization
Mobile robot

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCAS.2007.4406984

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Lee, S & Song, JB 2007, Mobile robot localization using infrared light reflecting landmarks. in ICCAS 2007 - International Conference on Control, Automation and Systems., 4406984, ICCAS 2007 - International Conference on Control, Automation and Systems, pp. 674-677, International Conference on Control, Automation and Systems, ICCAS 2007, Seoul, Korea, Republic of, 07/10/17. https://doi.org/10.1109/ICCAS.2007.4406984

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abstract = "To achieve autonomous mobile robot navigation, accurate localization technique is the fundamental issue that should be addressed. This paper presents mobile robot localization using infrared reflective artificial landmarks. In order to minimize the disturbance to the user and to provide the ease of installation, the passive landmarks are used. The landmarks are made of coated film which reflects the infrared light efficiently. Infrared light is not visible, but the camera can capture the reflected infrared light. Once the artificial landmark is identified, the robot's relative position/orientation is estimated with respect to the landmark. In order to reduce the number of the required artificial landmarks for a given environment, the pan-tilt mechanism is developed together with the distortion correction algorithm.",

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AB - To achieve autonomous mobile robot navigation, accurate localization technique is the fundamental issue that should be addressed. This paper presents mobile robot localization using infrared reflective artificial landmarks. In order to minimize the disturbance to the user and to provide the ease of installation, the passive landmarks are used. The landmarks are made of coated film which reflects the infrared light efficiently. Infrared light is not visible, but the camera can capture the reflected infrared light. Once the artificial landmark is identified, the robot's relative position/orientation is estimated with respect to the landmark. In order to reduce the number of the required artificial landmarks for a given environment, the pan-tilt mechanism is developed together with the distortion correction algorithm.

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