Uses a specialized algorithm for detecting and tracking lanes
I've included a few files to let you know more about the topic. I thank the authors of those research paper for providing insightful information and dump in extra knowledge! I'm providing links to their sites. Please refer them.
(Process) Data Flair - https://data-flair.training/blogs/road-lane-line-detection/
(Define) Hough Transform* - https://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm
(Process) Medium 1 - https://medium.com/computer-car/udacity-self-driving-car-nanodegree-project-1-finding-lane-lines-9cd6a846c58c
(Define) OpenCV - https://docs.opencv.org/3.4/d6/d10/tutorial_py_houghlines.html
(Process) Medium 2 - https://medium.com/analytics-vidhya/building-a-lane-detection-system-f7a727c6694
Lane Recognition Algorithm Using The Hough Transform Based On Complicated Conditions - https://www.scirp.org/journal/paperinformation.aspx?paperid=96456
Real-Time Lane Detection For Driver Assistance System - https://www.scirp.org/journal/paperinformation.aspx?paperid=48615
Detection Method For Auto Guide Vehicle’s Walking Deviation Based On Image Thinning And Hough Transform - https://journals.sagepub.com/doi/10.1177/0020294019833073
List of datasets (Paperswithcode) - https://paperswithcode.com/datasets?q=lane+detection&v=lst&o=match
CULane Dataset - https://xingangpan.github.io/projects/CULane.html