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Vision-based obstacle avoidance for a small, Low-cost robot.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

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Vision-based obstacle avoidance for a small, Low-cost robot. / Viet, Chau Nguyen; Marshall, Ian W.
2007. Paper presented at ICAR 2007.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Harvard

Viet, CN & Marshall, IW 2007, 'Vision-based obstacle avoidance for a small, Low-cost robot.', Paper presented at ICAR 2007, 1/01/00.

APA

Viet, C. N., & Marshall, I. W. (2007). Vision-based obstacle avoidance for a small, Low-cost robot.. Paper presented at ICAR 2007.

Vancouver

Viet CN, Marshall IW. Vision-based obstacle avoidance for a small, Low-cost robot.. 2007. Paper presented at ICAR 2007.

Author

Viet, Chau Nguyen ; Marshall, Ian W. / Vision-based obstacle avoidance for a small, Low-cost robot. Paper presented at ICAR 2007.8 p.

Bibtex

@conference{88c008bf36f7450e8319ed9aeafb215a,
title = "Vision-based obstacle avoidance for a small, Low-cost robot.",
abstract = "This paper presents a vision-based obstacle avoidance algorithm for a small indoor mobile robot built from low-cost, and off-the-shelf electronics. The obstacle avoidance problem in robotics has been researched extensively and there are many well established algorithms for this problem. However, most of these algorithms are developed for large robots with expensive, specialised sensors, and powerful computing platforms. We have developed an algorithm that can be implemented on very small robots with low-cost electronics and small computing platforms. Our vision-based obstacle detection algorithm is fast and works with very low resolution images. The control mechanism utilises both visual information and sonar sensor{\textquoteright}s measurement without having to fuse the data into a model or common representation. The robot platform was tested in an unstructured office environment and demonstrated a reliable obstacle avoidance behaviour.",
keywords = "obstacle-avoidance, robot vision.",
author = "Viet, {Chau Nguyen} and Marshall, {Ian W.}",
year = "2007",
language = "English",
note = "ICAR 2007 ; Conference date: 01-01-1900",

}

RIS

TY - CONF

T1 - Vision-based obstacle avoidance for a small, Low-cost robot.

AU - Viet, Chau Nguyen

AU - Marshall, Ian W.

PY - 2007

Y1 - 2007

N2 - This paper presents a vision-based obstacle avoidance algorithm for a small indoor mobile robot built from low-cost, and off-the-shelf electronics. The obstacle avoidance problem in robotics has been researched extensively and there are many well established algorithms for this problem. However, most of these algorithms are developed for large robots with expensive, specialised sensors, and powerful computing platforms. We have developed an algorithm that can be implemented on very small robots with low-cost electronics and small computing platforms. Our vision-based obstacle detection algorithm is fast and works with very low resolution images. The control mechanism utilises both visual information and sonar sensor’s measurement without having to fuse the data into a model or common representation. The robot platform was tested in an unstructured office environment and demonstrated a reliable obstacle avoidance behaviour.

AB - This paper presents a vision-based obstacle avoidance algorithm for a small indoor mobile robot built from low-cost, and off-the-shelf electronics. The obstacle avoidance problem in robotics has been researched extensively and there are many well established algorithms for this problem. However, most of these algorithms are developed for large robots with expensive, specialised sensors, and powerful computing platforms. We have developed an algorithm that can be implemented on very small robots with low-cost electronics and small computing platforms. Our vision-based obstacle detection algorithm is fast and works with very low resolution images. The control mechanism utilises both visual information and sonar sensor’s measurement without having to fuse the data into a model or common representation. The robot platform was tested in an unstructured office environment and demonstrated a reliable obstacle avoidance behaviour.

KW - obstacle-avoidance

KW - robot vision.

M3 - Conference paper

T2 - ICAR 2007

Y2 - 1 January 1900

ER -