Algorithm for Lane Detection Using Python

• Published in: E3S web of conferences Vol. 353; p. 3002
• Main Authors: R, Kishor, C, Archana, Talele, Virendra, R, Joshi, P, Dixit, Rathore, S S, V K, Mathew
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 01.01.2022
• Subjects: Algorithms; Cameras; Computer vision; Environmental conditions; Literature reviews; Machine learning; Object recognition; Real time; Vehicles
• ISSN: 2267-1242; 2555-0403; 2267-1242
• DOI: 10.1051/e3sconf/202235303002

Images of the lane given as an input to the algorithm, which will provide information about the lane and the Environmental condition which will be analysed by algorithm inorder to support the driver. The type of lane or the structure of the lane can be a type of information provided by algorithm. While Lane analysis the algorithm will completely ignore the useless information (such as surrounding area of lane or background) and will completely focus on the Lane. Only the lane lines will be the region of Interest in the LDS. The developed system can surely reduce the complexity of vision data and will meet the real time requirements. Based on the problems encountered in detecting objects by autonomous vehicles an effort has been made to demonstrate lane detection using Open CV library.