TY - JOUR
AU - 
AB - Detection of Highway Lane using Color Filtering and Line Determination Iwan Muhammad Erwin , Dicky Rianto Prajitno , Esa Prakasa Computer Vision Research Group, Research Center for Informatics National Research and Innovation Agency (BRIN), Bandung, Indonesia *iwan018@brin.go.id, masime2000@gmail.com Abstract - 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 lane 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 
TI - Detection of Highway Lane using Color Filtering and Line Determination
JF - Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika
DO - 10.23917/khif.v8i1.15854
DA - 2022-03-26
UR - https://www.deepdyve.com/lp/unpaywall/detection-of-highway-lane-using-color-filtering-and-line-determination-Lv81HhhZN5
DP - DeepDyve
ER -