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Advanced Driver Assistance System Using Machine Learning
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Abstract: Autonomous vehicles are apparently being implemented in today's vehicles as keeping a car on the regular track or lane is an important and common task for people of all ages. It may be difficult for the elderly, physically disabled people, or young drivers at night or in varying weather conditions. As a result, this driver assistance system will undoubtedly assist such individuals and potentially avoid accidents. In this paper, we analyze the lane deduction to keep the car going in the right direction using the canny edge algorithm to deduct edges and curves so as to reduce night accidents and ensure a safe drive.
Keywords: Canny Edge Detection, Sliding Window, Resize, Video Capture
Keywords: Canny Edge Detection, Sliding Window, Resize, Video Capture
How to Cite:
[1] Dr.Jyoti Metan, Preran M Kyasvar, Sahana K C, Sahana K H, βAdvanced Driver Assistance System Using Machine Learning,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2022.10626
