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In this paper, a vision based robust lane detection system using a novel 1-dimensional deep learning approach is proposed.
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This study proposes a Convolutional Neural Network architecture with a dimension reduction method that has not been used before in lane detection.
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In this paper, a vision-based lane detection approach capable of reaching real time operation with robustness to lighting change and shadows is presented.
Mar 10, 2017 · In this project, I have developed and implemented an algorithm for detecting white and yellow colored lanes on the road.
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This article reviews the methods employed for lane detection in an autonomous vehicle. A systematic literature review (SLR) has been carried out to analyze the ...
This paper introduces an innovative approach to autonomous vehicle lane detection, leveraging the YOLOV5 Segmentation Large Model for unparalleled precision and ...
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In this paper, a vision-based lane detection approach capable of reaching real time operation with robustness to lighting change and shadows is presented.
Jul 26, 2022 · In this paper, we have introduced a novel CNN model named LLDNet based on an encoder–decoder architecture that is lightweight and has been tested in adverse ...
Aug 19, 2024 · The proposed work focuses on presenting an accurate lane detection approach on poor roads, particularly those with curves, broken lanes, or no lane markings ...
Mar 30, 2021 · The autonomous vehicle must reliably detect the boundaries of its current lane for accurate localization to guarantee the driving safety.
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