Detection of Highway Lane using Color Filtering and Line Determination

• Những tác giả chính: Erwin, Iwan Muhammad, Prajitno, Dicky Rianto, Prakasa, Esa
• Định dạng: UMS Journal (OJS)
• Ngôn ngữ: eng
• Được phát hành: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2022
• Những chủ đề: Research Center for Informatics National Research and Innovation Agency, Republic of Indonesialane detector, camera, image processing, Indonesia toll road, real time, accuracy
• Truy cập trực tuyến: https://journals.ums.ac.id/index.php/khif/article/view/15854
• Tóm tắt: 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%.