Traffic cones detection for autonomous ground vehicle
Jelajah V-18 is an autonomous vehicle prototype where can navigate autonomously using Global Positioning System (GPS) for long-distance navigation and can find out the surrounding conditions to navigate short distances using cameras and proximity sensors. The vehicle also has a system that can searc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2022
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| Online Access: | http://journalarticle.ukm.my/19428/ http://journalarticle.ukm.my/19428/1/06.pdf |
| _version_ | 1848814838409592832 |
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| author | Hartono, Rodi Nizar, Taufiq Nuzwir Jatmiko, Didit Andri Wijaya, Feki Pangestu |
| author_facet | Hartono, Rodi Nizar, Taufiq Nuzwir Jatmiko, Didit Andri Wijaya, Feki Pangestu |
| author_sort | Hartono, Rodi |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Jelajah V-18 is an autonomous vehicle prototype where can navigate autonomously using Global Positioning System (GPS) for long-distance navigation and can find out the surrounding conditions to navigate short distances using cameras and proximity sensors. The vehicle also has a system that can search and recognize a static object using an image processing system. This research focuses on the detection of an objects in the form of traffic cones using the (Hue, Saturation, Value) HSV method to recognize objects by the color, then with the binary method the image of the object will be converted back to get the edges of the object shape and contour where the system can recognize the shape of the object. Based on the implementation and experiments conducted, the robot can detect traffic cone objects with a success rate of 100 percent at a distance of 1-6 meters and 35.67 percent at a distance of 7 meters. |
| first_indexed | 2025-11-15T00:40:27Z |
| format | Article |
| id | oai:generic.eprints.org:19428 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:40:27Z |
| publishDate | 2022 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:194282022-08-18T08:16:25Z http://journalarticle.ukm.my/19428/ Traffic cones detection for autonomous ground vehicle Hartono, Rodi Nizar, Taufiq Nuzwir Jatmiko, Didit Andri Wijaya, Feki Pangestu Jelajah V-18 is an autonomous vehicle prototype where can navigate autonomously using Global Positioning System (GPS) for long-distance navigation and can find out the surrounding conditions to navigate short distances using cameras and proximity sensors. The vehicle also has a system that can search and recognize a static object using an image processing system. This research focuses on the detection of an objects in the form of traffic cones using the (Hue, Saturation, Value) HSV method to recognize objects by the color, then with the binary method the image of the object will be converted back to get the edges of the object shape and contour where the system can recognize the shape of the object. Based on the implementation and experiments conducted, the robot can detect traffic cone objects with a success rate of 100 percent at a distance of 1-6 meters and 35.67 percent at a distance of 7 meters. Penerbit Universiti Kebangsaan Malaysia 2022-06 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/19428/1/06.pdf Hartono, Rodi and Nizar, Taufiq Nuzwir and Jatmiko, Didit Andri and Wijaya, Feki Pangestu (2022) Traffic cones detection for autonomous ground vehicle. Asia-Pacific Journal of Information Technology and Multimedia, 11 (1). pp. 65-77. ISSN 2289-2192 https://www.ukm.my/apjitm/articles-issues |
| spellingShingle | Hartono, Rodi Nizar, Taufiq Nuzwir Jatmiko, Didit Andri Wijaya, Feki Pangestu Traffic cones detection for autonomous ground vehicle |
| title | Traffic cones detection for autonomous ground vehicle |
| title_full | Traffic cones detection for autonomous ground vehicle |
| title_fullStr | Traffic cones detection for autonomous ground vehicle |
| title_full_unstemmed | Traffic cones detection for autonomous ground vehicle |
| title_short | Traffic cones detection for autonomous ground vehicle |
| title_sort | traffic cones detection for autonomous ground vehicle |
| url | http://journalarticle.ukm.my/19428/ http://journalarticle.ukm.my/19428/ http://journalarticle.ukm.my/19428/1/06.pdf |