Prakasa, Markus Rinaldi and Rusyadi, Rusman (2016) Developing and Integrating Vision System for Quadruped Locomotion Based Mobile Robot. Bachelor thesis, Swiss German University.
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Abstract
The purpose of this thesis is to design and construct a vision based navigation system for autonomous quadruped locomotion based robot. To navigate the road, the captured images from the camera unit are broken down, or segmented, into regions based on their weights and marker using OpenCV. Then the segmented regions are processed to differentiate between road, walls, and other objects. The region that represented the road is selected for the robot to navigate into. The vision system is then tested on several conditions, such as for outdoor and indoor navigation to find the capability of the vision system and to implement the navigation system for the quadruped based locomotion autonomous robot.
| Item Type: | Thesis (Bachelor) |
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| Uncontrolled Keywords: | Image Segmentation; Road Detection; Road Navigation. |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TJ Mechanical engineering and machinery > TJ210 Robots (General) T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL152 Automobiles--Maintenance and repair > TL152.7 Automobiles--Navigation systems |
| Divisions: | Faculty of Engineering and Information Technology > Department of Mechatronics Engineering |
| Depositing User: | Atroridho Rizky |
| Date Deposited: | 12 Nov 2020 14:40 |
| Last Modified: | 12 Nov 2020 14:40 |
| URI: | http://repository.sgu.ac.id/id/eprint/1420 |
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