Landmark detection for vision based of autonomous guided vehicle / Nurul Atiqah Syazwani Kamarudin

By: Material type: TextTextPublication details: Kuantan, Pahang : UMP, 2012Description: xiii, 76 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:
  • THE0006108(Local)
Subject(s): Dissertation note: Project paper (Bachelor of Manufacturing Engineering) -- Universiti Malaysia Pahang - 2012 Abstract: The creation of Autonomous Guided Vehicle (AGV) gives many advantages in our lives. This thesis is focused on navigation control system for an Autonomous Guided Vehicle (AGV) by detecting and recognizing artificial landmark with using USB webcam. USB webcam act as sensor that provides the appropriate information for the AGV navigation and landmark detection. This project involved single vision system. The aim of this project is to develop an algorithm for vision based AGV. Several image processing pipelines involved in this project. The algorithm is developed not only to detect and recognize but also to distinguish landmark from non-landmark. Non-landmark might possibly have the same features or characteristic with landmarks. The landmarks must be detected and recognized by vision sensor accurately in a real-time. The landmarks are in the form of shape that consists of command for the movement, direction and position of AGV. The key study in this project is the algorithm design.
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Item type Current library Call number Copy number Status Date due Barcode
Final Year Report Final Year Report UMPLIB PEKAN TJ211.495 .A85 2012 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000067421
Final Year Report Final Year Report UMPLIB PEKAN CD 6269 | TJ211.495 .A85 2012 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000067422

Project paper (Bachelor of Manufacturing Engineering) -- Universiti Malaysia Pahang - 2012

Bibliography : p. 69-71

The creation of Autonomous Guided Vehicle (AGV) gives many advantages in our lives. This thesis is focused on navigation control system for an Autonomous Guided Vehicle (AGV) by detecting and recognizing artificial landmark with using USB webcam. USB webcam act as sensor that provides the appropriate information for the AGV navigation and landmark detection. This project involved single vision system. The aim of this project is to develop an algorithm for vision based AGV. Several image processing pipelines involved in this project. The algorithm is developed not only to detect and recognize but also to distinguish landmark from non-landmark. Non-landmark might possibly have the same features or characteristic with landmarks. The landmarks must be detected and recognized by vision sensor accurately in a real-time. The landmarks are in the form of shape that consists of command for the movement, direction and position of AGV. The key study in this project is the algorithm design.

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