.png){kind=icon}
返回
An algorithm for lane detection based on RIME optimization and optimal threshold
.png){kind=icon}
OA
AI
DOI：10.1038/s41598-024-76837-5.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In order to address the challenges of low lane line detection rates caused by complex road conditions,we propose a novel algorithm that integrates frost and ice optimisation with optimal thresholding. A pre-processing model based on Retinex theory is used to reduce noise and preserve grey scale detail. The optimal OTSU threshold is determined for segmentation, which is enhanced by tent mapping. To further enhance the precision of the detection process, the binarized image is transformed into a bird's-eye view, and the lane line pixel features are identified through the use of an adaptive sliding window. Ultimately, the RANSAC algorithm is utilized in conjunction with a parabolic model for lane line fitting. The experimental results demonstrate that, in comparison to similar image segmentation algorithms, the proposed method exhibits a notable advantage in terms of threshold calculation error and computational efficiency. Moreover, in comparison to analogous line detection algorithms, the detection accuracy rate reaches 93.87%, effectively reducing the impact of interference factors and demonstrating remarkable robustness that surpasses the traditional Hough Transform, which has an accuracy of 43.2%, and sliding window and Hough transform, with an accuracy of 89.16%. The code of our research work is publicly available at: https://github.com/zx2000430/rime.
Keyword:
Lane line detection
RIME optimization algorithm
Image segmentation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.9
论文数:
27.9W
被引数:
83.5W
机构
引用论文
A Novel Defocus-Blur Region Detection Approach Based on DCT Feature and PCNN Structure.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏分享收藏Detecting Power Lines Using Point Instance Network for Distribution Line Inspection利用点实例网络检测配电线路IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏Distinct thymidine kinases encoded by cowpox virus and herpes simplex virus contribute significantly to the differential antiviral activity of nucleoside analogs牛痘病毒和单纯疱疹病毒编码的不同胸苷激酶显著贡献于核苷类似物的差异抗病毒活性。
PREAI
分享收藏
查看更多内容