Paper Key : IRJ************264
Author: Manoranjan S
Date Published: 12 Apr 2024
Abstract
Modern transport systems rely heavily on lane and traffic sign detection to improve safety and traffic management. The goal of this research is to develop a real-time system that can identify and recognize traffic signs and lanes using computer vision techniques. Using image processing algorithms, it examines video streams from cameras mounted on vehicles or on the side of the road. Convolutional neural networks (CNNs), edge detection, and the Hough transform are some of the techniques used for lane recognition that guarantee precise identification of lane markers under a variety of circumstances. Tracking lane boundaries continuously helps drivers stay in their proper positions and avoid lane deviation accidents.
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