Detection of Highway Lane using Color Filtering and Line Determination
Traffic accidents are generally caused by human error as a driver. The main cause is that the vehicle shifts away from the driving lane without the driver realizing it. Usually, because the driver is sleepy or drunk. Therefore, it is necessary to have a system that functions to assist the driver...
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| Format: | UMS Journal (OJS) |
| Language: | eng |
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Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia
2022
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| Online Access: | https://journals.ums.ac.id/index.php/khif/article/view/15854 |
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| author | Erwin, Iwan Muhammad Prajitno, Dicky Rianto Prakasa, Esa |
| author_facet | Erwin, Iwan Muhammad Prajitno, Dicky Rianto Prakasa, Esa |
| author_sort | Erwin, Iwan Muhammad |
| collection | OJS |
| description | Traffic accidents are generally caused by human error as a driver. The main cause is that the vehicle shifts away from the driving lane without the driver realizing it. Usually, because the driver is sleepy or drunk. Therefore, it is necessary to have a system that functions to assist the driver's navigation to stay on the correct driving path, such as a driver assistance system (DAS). In this system, the driving lane detector is the main part. This system serves to assist the driver's navigation to stay on the correct driving path. Vehicles are installed with cameras to record video towards the road ahead. Computers are also installed for image processing, identifying left and right road lines, and forming ego-lane. This paper offers an image processing-based method for recognizing driving lanes and presenting visualizations in real-time. This method has been tested using a data set, that video driving on Indonesian highway on the Cipali and Palikanci sections using dashboard camera. The test results obtained an accuracy of 99.25%. |
| format | UMS Journal (OJS) |
| id | oai:ojs2.journals.ums.ac.id:article-15854 |
| institution | Universitas Muhammadiyah Surakarta |
| language | eng |
| publishDate | 2022 |
| publisher | Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia |
| record_format | ojs |
| spelling | oai:ojs2.journals.ums.ac.id:article-15854 Detection of Highway Lane using Color Filtering and Line Determination Erwin, Iwan Muhammad Prajitno, Dicky Rianto Prakasa, Esa Research Center for Informatics National Research and Innovation Agency, Republic of Indonesialane detector, camera, image processing, Indonesia toll road, real time, accuracy Traffic accidents are generally caused by human error as a driver. The main cause is that the vehicle shifts away from the driving lane without the driver realizing it. Usually, because the driver is sleepy or drunk. Therefore, it is necessary to have a system that functions to assist the driver's navigation to stay on the correct driving path, such as a driver assistance system (DAS). In this system, the driving lane detector is the main part. This system serves to assist the driver's navigation to stay on the correct driving path. Vehicles are installed with cameras to record video towards the road ahead. Computers are also installed for image processing, identifying left and right road lines, and forming ego-lane. This paper offers an image processing-based method for recognizing driving lanes and presenting visualizations in real-time. This method has been tested using a data set, that video driving on Indonesian highway on the Cipali and Palikanci sections using dashboard camera. The test results obtained an accuracy of 99.25%. Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia Research Center for Informatics National Research and Innovation Agency, Republic of Indonesia 2022-03-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journals.ums.ac.id/index.php/khif/article/view/15854 10.23917/khif.v8i1.15854 Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika; Vol. 8 No. 1 April 2022; 81-87 Khazanah Informatika; Vol. 8 No. 1 April 2022; 81-87 2477-698X 2621-038X eng https://journals.ums.ac.id/index.php/khif/article/view/15854/7450 Copyright (c) 2022 Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | Research Center for Informatics National Research and Innovation Agency, Republic of Indonesialane detector, camera, image processing, Indonesia toll road, real time, accuracy Erwin, Iwan Muhammad Prajitno, Dicky Rianto Prakasa, Esa Detection of Highway Lane using Color Filtering and Line Determination |
| title | Detection of Highway Lane using Color Filtering and Line Determination |
| title_full | Detection of Highway Lane using Color Filtering and Line Determination |
| title_fullStr | Detection of Highway Lane using Color Filtering and Line Determination |
| title_full_unstemmed | Detection of Highway Lane using Color Filtering and Line Determination |
| title_short | Detection of Highway Lane using Color Filtering and Line Determination |
| title_sort | detection of highway lane using color filtering and line determination |
| topic | Research Center for Informatics National Research and Innovation Agency, Republic of Indonesialane detector, camera, image processing, Indonesia toll road, real time, accuracy |
| topic_facet | Research Center for Informatics National Research and Innovation Agency, Republic of Indonesialane detector, camera, image processing, Indonesia toll road, real time, accuracy |
| url | https://journals.ums.ac.id/index.php/khif/article/view/15854 |
| work_keys_str_mv | AT erwiniwanmuhammad detectionofhighwaylaneusingcolorfilteringandlinedetermination AT prajitnodickyrianto detectionofhighwaylaneusingcolorfilteringandlinedetermination AT prakasaesa detectionofhighwaylaneusingcolorfilteringandlinedetermination |