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Інформація × Реєстраційний номер 2120U007854, Матеріали видань та локальних репозитаріїв Категорія Препринт Назва роботи Lane segmentation for advanced driver-assistance systems Автор Temnyk MaryanaTemnyk Maryana Дата публікації 01-01-2020 Постачальник інформації Український католицький університет Першоджерело https://hdl.handle.net/20.500.14570/4492 Видання Опис Lane detection is an image analysis problem of detecting lane markings on the road. Recently it became one of the crucial parts of most Advanced diver-assistance systems. With the current progress in deep learning, plenty of new methods have been developed for lane detection. However, even novel powerful CNN architec- tures are struggling to give a satisfactory result along with acceptable performance. Recent studies show that developing a fast, robust and accurate model for real-time lane detection is a hard task due to external factors such as weather conditions, light- ing, traffic, complex marking shapes, thin or invisible lanes on rough and hilly roads, etc. The main focus of this thesis is to investigate, compare, and develop lane detec- tion methods that can be used in real-time ADAS applications. Додано в НРАТ 2025-11-05 Закрити
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Препринт
Lane segmentation for advanced driver-assistance systems
Temnyk Maryana. Lane segmentation for advanced driver-assistance systems : публікація 2020-01-01; Український католицький університет, 2120U007854
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Оновлено: 2026-04-09


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