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This repository was archived by the owner on Sep 21, 2025. It is now read-only.
This task focuses on detecting stop lines near stop signs using OpenCV. The approach will use Canny edge detection to identify edges in the image, followed by HoughLinesP to detect line segments corresponding to stop lines. To improve efficiency, colour filtering will be applied to isolate white or yellow road markings.
Since the model needs to run in real-time, the implementation should be optimized for low compute power by minimizing unnecessary processing steps and ensuring efficient memory usage. The final output should provide accurate stop line detection that can be associated with detected stop signs, enabling more reliable stopping decisions in the pipeline.
This task focuses on detecting stop lines near stop signs using OpenCV. The approach will use Canny edge detection to identify edges in the image, followed by HoughLinesP to detect line segments corresponding to stop lines. To improve efficiency, colour filtering will be applied to isolate white or yellow road markings.
This is how the Hough line will work along with Canny edge detection:
https://docs.opencv.org/3.4/d9/db0/tutorial_hough_lines.html
Since the model needs to run in real-time, the implementation should be optimized for low compute power by minimizing unnecessary processing steps and ensuring efficient memory usage. The final output should provide accurate stop line detection that can be associated with detected stop signs, enabling more reliable stopping decisions in the pipeline.