Real-Time Road Lane-Lines Detection using Mask-RCNN Approach
Beissenova G. Ussipbekova D. Sultanova F. Nurzhamal K. Baenova G. Suimenova M. Rzayeva K. Azhibekova Z. Ydyrys A.
2024Science and Information Organization
International Journal of Advanced Computer Science and Applications
2024#15Issue 5827 - 833 pp.
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 lighting conditions and occlusions. Real-time processing capabilities enable instantaneous feedback, contributing to improved driving safety and efficiency. However, challenges such as model generalizability, interpretability, computational efficiency, and resilience to adverse weather conditions remain to be addressed. Future research directions include optimizing the system’s performance across different geographic regions and road types and enhancing its adaptability to adverse weather conditions. The findings presented in this paper contribute to the ongoing efforts to advance autonomous driving technology, with implications for improving road safety and transportation efficiency in real-world settings. The proposed system holds promise for practical deployment in autonomous vehicles, paving the way for safer and more efficient transportation systems in the future.
classification , deep learning , detection , Lane lines , Mask-RCNN , segmentation
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M.Auezov South Kazakhstan university, Shymkent, Kazakhstan
Kazakh National Medical University, Almaty, Kazakhstan
I.K.Akhunbaev Kyrgyz State Medical Academy, Bishkek, Kyrgyzstan
L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Caspian University of Technology and Engineering named after Sh.Yessenov, Aktau, Kazakhstan
Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan
International Information Technology University, Almaty, Kazakhstan
M.Auezov South Kazakhstan university
Kazakh National Medical University
I.K.Akhunbaev Kyrgyz State Medical Academy
L.N. Gumilyov Eurasian National University
Caspian University of Technology and Engineering named after Sh.Yessenov
Asfendiyarov Kazakh National Medical University
International Information Technology University
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