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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM51605
Volume:
9 |
7 |
Jul 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Autonomous vehicles have surfaced as one of the most transformative inventions in ultramodern transportation. A crucial element of their functionality is dependable navigation, particularly the discovery and following of road lanes. This exploration presents a machine literacy- grounded system for lane discovery using OpenCV and Python, with a focus on educational availability and system modularity. A web operation erected with Beaker enables druggies to upload driving vids and view lane discovery labour’s. While this perpetration don’t incorporate advanced deep literacy or real- time detector emulsion, it offers a foundational understanding of visual navigation in independent vehicles and sets the stage for unborn development using more sophisticated styles
KEYWORDS
Publication Date
7/29/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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