Paper Title
Advance Lane Detection for Autonomous Driving
Article Identifiers
Authors
Sahil Gupta , Niteesh Pal , Vetrivendan L.
Keywords
Lane; Lane detection; Poly curve Fit ;Perspective Transformation; Sliding Window
Abstract
The objective of this paper is to use computer vision techniques to detect the lanes for an autonomous driving car. Perspective transform together with poly fit functions plays a great role in giving an accurate result. Vision based approach is utilized as it performs well in a wide variety of situations by extracting rich set of information compared to other sensors. The proposed method takes frames from the input video , processes it and detects the lanes present.
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How To Cite (APA)
Sahil Gupta, Niteesh Pal, & Vetrivendan L. (May-2023). Advance Lane Detection for Autonomous Driving. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), b745-b751. https://ijnrd.org/papers/IJNRD2305198.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : b745-b751
Other Publication Details
Paper Reg. ID: IJNRD_193427
Published Paper Id: IJNRD2305198
Downloads: 000121984
Research Area: Engineering
Country: Rourkela, Odisha, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305198.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305198
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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