Automatic Segmentation of the Roadway and its Elements

Student: Artem Makoyan

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 9

Year of Graduation: 2024

Maps today are intricately detailed, offering even 3D viewing options. Focusing on 2D maps, especially in urban areas, manually marking road surfaces and crossroads is a challenging task. We introduce an innovative approach to process highly detailed maps using only a road graph and aerial imagery. The creation of road graphs is straightforward, and most urban areas already incorporate this markup. Additionally, our method outputs vectorized surfaces, facilitating rendering on devices with limited resources. We also introduce a model that segments safety islands. We developed a pipeline for the fully automatic segmentation of road surfaces and road elements in a vectorized format, marking the initial version of this technology.

Full text (added May 20, 2024)

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