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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.
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- et al. (2024) studied this question.
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