Advanced lane detection is a technology that helps cars understand road lanes using cameras and computer programs. It utilizes image processing to clean and highlight key elements of the road, such as lane lines. Then, computer vision algorithms detect and track these lanes in real time. This helps improve road safety, autonomous driving, and driver assistance systems.
In the future, if you want to work in research, you can build on projects like this by using artificial intelligence and deep learning. For example, you can train neural networks to detect lanes in more difficult conditions, like at night, in the rain, or when the lanes are worn out. Research in this field can help develop smarter self-driving cars, enhance traffic safety, and reduce the incidence of accidents.
By studying and experimenting with lane detection and other computer vision problems, you will learn how machines see and understand the world, which is very useful in AI, robotics, and autonomous systems. Research in this field can also lead to publications, higher studies, and job opportunities in tech companies or universities.
🧠 Installation & Setup Guide
Step 1: Download the source code from this repository and open the folder in PyCharm.
Step 2: Open the terminal and install the required dependencies by running the following commands:
pip uninstall moviepy -y
pip install moviepy==1.0.3
Step 3: Wait until all installations are completed successfully. Then, run the program and see your result!
Output
Also, output video to the file. Please check.
📬 Contact
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