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Lane Detection

Student: Anton Kukulianski

Supervisor: Artem Babenko

Faculty: Faculty of Computer Science

Educational Programme: Data Science (Master)

Year of Graduation: 2020

The object of research in this work is the problem of detecting road lanes. The goal of this work is to develop a lane detector for use in advanced driver assistance systems. The development of such models is a non-trivial task that requires high accuracy and speed at the same time. In this paper, we study various methods for solving the problem of lane detection. Based on the obtained knowledge, a model is developed that meets the set quality and performance requirements. As a result, a model is successfully applied that improves the quality of the advanced driver assistance system, and the system becomes more resistant to noise and bad weather conditions.

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