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First, it is an explanation of the background of the study.
Lane detection is a technique for recognition when autonomous-driving vehicles drive on roads.
Typical lane detection is a visual-based approach using cameras.
It can be largely divided into two ways.
The first is a method using classical computer vision.
This includes methods of Cleaning, Feature Detection, Model Application, Tracking Integration, and Coordinates Translation.
The second is the learning-based method.
This includes the method of Extracting features using constructed learners.
In the case of classical computer vision, there is an advantage of Cost-effectiveness.
However, it is Easily affected by Illumination changes.
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IEEE/ICACT20220030 Slide.02
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