Open AccessDETECTION OF LANE LINES FOR SELFDRIVING CARS BY USING EFFECTIVE COMPUTER VISION TECHNIQUES WITH OPENCV IN PYTHON
Author(s) -
Aryan Verma
Publication year - 2021
Publication title -
paripex indian journal of research
Language(s) - English
DOI - 10.36106/paripex/1008301
Subject(s) - artificial intelligence , computer vision , python (programming language) , computer science , segmentation , computer graphics (images) , pedestrian , robotics , robot , engineering , transport engineering , operating system
Presently computer vision is amongst the hottest topics in Artificial Intelligence and is being extensively used inRobotics, Detecting Objects, Classification of Images, Autonomous Vehicles & tracking, Semantic Segmentation alongwith photo correction in various apps. In Self driven cars/ vehicles, vision remains the main source of information fordetecting lanes, traffic lights, pedestrian crossing and other visual features. [2]