A New Method of Image Matching in a Vision-Based Mobile Robot System

Cheng Zhi Cao; Wen Zheng Gao; Hui Jun Li

doi:10.4028/www.scientific.net/AMR.989-994.4104

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A New Method of Image Matching in a Vision-Based...

A New Method of Image Matching in a Vision-Based Mobile Robot System

Abstract:

In a vision-based system for mobile robot/human localization in the environment, extracting feature from images and image matching are important for the final results. Although there are many algorithms for image matching, they are not fit for this system. A new method is designed to improve image matching effect.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4104-4106

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.4104

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Online since:

July 2014

Authors:

Cheng Zhi Cao, Wen Zheng Gao, Hui Jun Li*

Keywords:

Image Matching, Matched Points, Mobile Robot, RANSAC, Vision-Based

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* - Corresponding Author

References

[1] Richard M. Murray, Zexiang Li, S. Shankar Sastry: A Mathematical Introduction to Robotic Manipulation, Robotica, Vol. 18 Issue 1, January (2000).

Google Scholar

[2] Dieter Fox, Wolfram Burgard, Sebastian Thrun: A hybrid collision avoidance method for mobile robots, Robotics and Automation, (1998).

DOI: 10.1109/robot.1998.677270

Google Scholar

[3] R.V. Bostelman, T.H. Hong, R. Madhavan, T. Y. Chang: Safety Standard Advancement Toward Mobile Robot Use Near Humans, 4th International Conference on Safety of Industrial Automated Systems, Chicago, IL, September 26-28, (2005).

Google Scholar

[4] Ruslan Asaula, Daniele Fontanelli, Luigi Palopoli: A Probabilistic Methodology for Predicting Injuries to Human Operators in Automated Production lines, Emerging Technologies & Factory Automation, (2009).

DOI: 10.1109/etfa.2009.5347119

Google Scholar

[5] Martin A. Fischler and Robert C. Bolles, Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography, Commun. ACM, Vol. 24, No. 6, pp.381-395, (1981).

DOI: 10.1145/358669.358692

Google Scholar