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Information × Registration Number 2120U007854, Article popup.category Препринт Title Lane segmentation for advanced driver-assistance systems (AI translated) popup.author Temnyk MaryanaTemnyk Maryana popup.publication 01-01-2020 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4492 popup.publisher Description 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. popup.nrat_date 2025-11-05 Close