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Lane detection using hybrid colour segmentation and perpendicular traversal linear search algorithm

机译:使用混合颜色分割和垂直遍历线性搜索算法的车道检测

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Road lane recognition and departure tracking systems provide an additional level of assistance and security to have a safe drive. This Application identifies the roadway by recognizing the lanes on the road considering the current movements of the vehicle. This research contributes to resolving some of the outstanding challenges in real time lane detection systems. Research has proposed a perpendicular traversal linear search algorithm with hybrid colour segmentation to address appearance variations in lane marking occurs due to various weather conditions, shadows, and occlusions such as traffic on the road. Robustness of the application has been tested under various road conditions and experimental results have achieved an accuracy of 89% for the overall application performance.
机译:车道识别和离场跟踪系统可提供更高级别的协助和安全性,以确保驾驶安全。该应用通过考虑车辆的当前运动来识别道路上的车道来识别道路。这项研究有助于解决实时车道检测系统中的一些突出挑战。研究提出了一种具有混合颜色分割的垂直遍历线性搜索算法,以解决由于各种天气条件,阴影和道路交通等遮挡而导致车道标记出现的外观变化。已在各种路况下测试了应用程序的鲁棒性,并且实验结果对于整个应用程序性能实现了89%的精度。

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