Ariesta, Kevin and Rusyadi, Rusman (2017) Implementation Of Lane Tracking System With Vision On Autonomous Racing Car Using Robot Operating System. Bachelor thesis, Swiss German University.
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Abstract
The objective of this thesis is to implement lane tracking system with vision on autonomous racing car using Robot Operating System. The main sensor of the lane tracking system is PS3 Eye Camera, which will be utilized as the vision system of the car. The lane tracking program will be supported with OpenCV library, which is the feature to process the captured image from the camera and enable lane detection system. In this lane tracking system, ROS will be utilized as the main software platform to execute all of the required packages for implementing the lane tracking system, such as the lane detection program and the controller. All of the software and program packages for this system will be stored in Nvidia Jetson Tegra K1 mini PC. Arduino will be used in this system as the controller for steering and drive motor. The testing of the lane tracking system will be limited only for detecting and following the white-coloured lane only.
| Item Type: | Thesis (Bachelor) |
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| Uncontrolled Keywords: | Lane Tracking System; Vision; Robot Operating System; PS3 Eye Camera; OpenCV |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ210 Robots (General) |
| Divisions: | Faculty of Engineering and Information Technology > Department of Mechatronics Engineering |
| Depositing User: | Astuti Kusumaningrum |
| Date Deposited: | 15 May 2020 09:00 |
| Last Modified: | 15 May 2020 09:00 |
| URI: | http://repository.sgu.ac.id/id/eprint/394 |
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