| Issue |
E3S Web Conf.
Volume 353, 2022
8th International Conference on Energy and City of the Future (EVF’2021)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 11 | |
| Section | Materials & Factories of the Future | |
| DOI | https://doi.org/10.1051/e3sconf/202235303002 | |
| Published online | 29 June 2022 | |
Algorithm for Lane Detection Using Python
Department of Mechanical Engineering, MIT School of Engineering, MIT-ADT University, Pune, Pincode-412201, India
* mathew.karvinkoppa@mituniversity.edu.in
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.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.