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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Edge detection for mobile robots in Lunar Surface and surroundings

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    Edge detection for mobile robots.pdf (2.024Mb)
    Date
    2012-04
    Publisher
    BRAC University
    Author
    Iqbal, Mehtab
    Metadata
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    URI
    http://hdl.handle.net/10361/1913
    Abstract
    The goal of this paper is to explore possibilities in devising a system that is able to detect obstacles in a scene or situation where color variation is limited and environment is noisy, such as that of the moon where there are many craters of different depths and rocks of various sizes and shapes. The research is premised upon the importance of space research and the dual problem of manned missions to space finances and human survival. For space programs that involve scouting or sample collection from planetary surfaces, it is cost-effective to make use of autonomous or semi-autonomous robots. These robots need to overcome obstacles in lunar/ planetary surface without any hazard, such as falling over, being stuck and so on. This paper will handle the methods and mechanism of the primary part of this system (obstacle detection) using the moon surface as the destination. Existing algorithms for obstacle detection dealing with edge and corner detection have been compared and modified to best determine obstacles on the lunar surface. In particular shadow masking technique along with edge detection has been used to discern shapes of ditches and mounds on the lunar surface.
    Keywords
    Computer science and engineering
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2012.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 28).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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