DETECTION OF LANE LINES FOR SELFDRIVING CARS BY USING EFFECTIVE COMPUTER VISION TECHNIQUES WITH OPENCV IN PYTHON | Zendy

Aryan Verma | Zendy

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DETECTION 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

Resource type - Journals

ISSN - 2250-1991

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]

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