%0 Journal Article %1 noauthororeditor %A Sai, I B V S Shiva %A Sathish, K %A Aurava, G %A Mahboob, S %A Koushik, K N V C %D 2019 %E Kumar, Dr. Shiv %J International Journal of Emerging Science and Engineering (IJESE) %K %N 3 %P 5-9 %T Lane Detection Algorithm Based on Reliable Lane Markings for Self Driving Vehicles %U https://www.ijese.org/wp-content/uploads/Papers/v6i3/C2236046319.pdf %V 6 %X Keeping the vehicle within the lane is an important aspect in the self driving vehicles. These lane lines are detected by using lane detection algorithms. Initially the self driving vehicle captures the footage of the road ahead of it using high resolution cameras mounted on the top of the car. Then the footage is divided into individual frames and the frames are processed further to identify the lane markings. Digital image processing technique is utilized in order to find ROI (Region of Interest) and to eliminate unnecessary noises and glares caused by the reflection of light. Then, the light intensity and width of lane markings are taken as input. An edge detection algorithm is applied to find the boundaries of objects within images. It works by detecting discontinuities in brightness followed by a line detection algorithm is applied on the edge detected image to construct the lines on which the edge point lies. Hough transform with some subsidiary conditions is suitable algorithm preferred. With this proposed model, the lane can be accurately detected in conditions of fluctuating, poor illumination and from interference from reflected light can be avoided effectively. The results obtained demonstrate the accuracy of the proposed method

@article{noauthororeditor, abstract = {Keeping the vehicle within the lane is an important aspect in the self driving vehicles. These lane lines are detected by using lane detection algorithms. Initially the self driving vehicle captures the footage of the road ahead of it using high resolution cameras mounted on the top of the car. Then the footage is divided into individual frames and the frames are processed further to identify the lane markings. Digital image processing technique is utilized in order to find ROI (Region of Interest) and to eliminate unnecessary noises and glares caused by the reflection of light. Then, the light intensity and width of lane markings are taken as input. An edge detection algorithm is applied to find the boundaries of objects within images. It works by detecting discontinuities in brightness followed by a line detection algorithm is applied on the edge detected image to construct the lines on which the edge point lies. Hough transform with some subsidiary conditions is suitable algorithm preferred. With this proposed model, the lane can be accurately detected in conditions of fluctuating, poor illumination and from interference from reflected light can be avoided effectively. The results obtained demonstrate the accuracy of the proposed method}, added-at = {2021-09-13T13:34:17.000+0200}, author = {Sai, I B V S Shiva and Sathish, K and Aurava, G and Mahboob, S and Koushik, K N V C}, biburl = {https://www.bibsonomy.org/bibtex/2d5e62d8a6fc4bf6b994cb6553a056452/ijese_beiesp}, editor = {Kumar, Dr. Shiv}, interhash = {3cb827edcd31349c949978d956899655}, intrahash = {d5e62d8a6fc4bf6b994cb6553a056452}, issn = {2319–6378}, journal = {International Journal of Emerging Science and Engineering (IJESE)}, keywords = {}, language = {En}, month = may, number = 3, pages = {5-9}, timestamp = {2021-09-13T13:34:17.000+0200}, title = {Lane Detection Algorithm Based on Reliable Lane Markings for Self Driving Vehicles}, url = {https://www.ijese.org/wp-content/uploads/Papers/v6i3/C2236046319.pdf}, volume = 6, year = 2019 }