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A Novel Edge Detection Algorithm for Mobile Robot Path Planning
Joint Authors
Al-Jarrah, Rami
Al-Jarrah, Mohammad
Roth, Hubert
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-01
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A novel detection algorithm for vision systems has been proposed based on combined fuzzy image processing and bacterial algorithm.
This combination aims to increase the detection efficiency and reduce the computational time.
In addition, the proposed algorithm has been tested through real-time robot navigation system, where it has been applied to detect the robot and obstacles in unstructured environment and generate 2D maps.
These maps contain the starting and destination points in addition to current positions of the robot and obstacles.
Moreover, the genetic algorithm (GA) has been modified and applied to produce time-based trajectory for the optimal path.
It is based on proposing and enhancing the searching ability of the robot to move towards the optimal path solution.
Many scenarios have been adopted in indoor environment to verify the capability of the new algorithm in terms of detection efficiency and computational time.
American Psychological Association (APA)
Al-Jarrah, Rami& Al-Jarrah, Mohammad& Roth, Hubert. 2018. A Novel Edge Detection Algorithm for Mobile Robot Path Planning. Journal of Robotics،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1197760
Modern Language Association (MLA)
Al-Jarrah, Rami…[et al.]. A Novel Edge Detection Algorithm for Mobile Robot Path Planning. Journal of Robotics No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1197760
American Medical Association (AMA)
Al-Jarrah, Rami& Al-Jarrah, Mohammad& Roth, Hubert. A Novel Edge Detection Algorithm for Mobile Robot Path Planning. Journal of Robotics. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1197760
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197760