Real-Time Road Lane-Lines Detection using Mask-RCNN Approach
Gulbakhram Beissenova,
Dinara Ussipbekova,
Firuza Sultanova
et al.
Abstract:This paper presents a novel approach to real-time road lane-line detection using the Mask R-CNN framework, with the aim of enhancing the safety and efficiency of autonomous driving systems. Through extensive experimentation and analysis, the proposed system demonstrates robust performance in accurately detecting and segmenting lane boundaries under diverse driving conditions. Leveraging deep learning techniques, the system exhibits a high level of accuracy in handling complex scenarios, including variations in… Show more
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