International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Advanced Road Lane Detection System

Author(s) Dr. Vinay Warad, Mohammed Zeeshan, Mohammed Ehtesham Shaikh, Syed Shais Ayaan, Muqtadeer
Country India
Abstract Road lane detection is a critical component of autonomous driving systems, aimed at enhancing vehicle safety and efficiency. This research paper presents an advanced road lane detection system designed to automatically identify lane markings on the road surface. Leveraging image processing techniques such as camera calibration, perspective transformation, and binary thresholding, the proposed system achieves accurate and real-time detection of lane boundaries.
Through extensive experimentation and evaluation, the system demonstrates superior performance across various road conditions and environments. The results highlight the effectiveness and potential of the proposed system in advancing autonomous driving technology and improving road safety.
Keywords Camera Calibration, perspective transformation, binary thresholding, sliding windows and polynomial fitting, realtime detection of lane boundaries.
Field Engineering
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-29
Cite This Advanced Road Lane Detection System - Dr. Vinay Warad, Mohammed Zeeshan, Mohammed Ehtesham Shaikh, Syed Shais Ayaan, Muqtadeer - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.18553
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.18553
Short DOI https://doi.org/gtsnvx
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E-ISSN 2582-2160
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