Search Results - Traditional-based sign detection algorithm

Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review by Chen, Hui, Ali, Mohammed A.H., Nukman, Yusoff, Razak, Bushroa Abd, Turaev, Sherzod, Chen, YiHan, Zhang, Shikai, Huang, Zhiwei, Wang, Zhenya, Abdulghafor, Rawad

“…•Hybrid algorithms for Traffic Sign detection are thoroughly reviewed.•A deep learning is analyzed using regression, segmentation, and hybrid methods…”
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YOLO-BS: a traffic sign detection algorithm based on YOLOv8 by Zhang, Hong, Liang, Mingyin, Wang, Yufeng

“… This paper reviews traditional traffic sign detection methods and introduces an enhanced detection algorithm (YOLO-BS) based on YOLOv8…”
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Research and Implementation of an Embedded Traffic Sign Detection Model Using Improved YOLOV5 by Hu, Tong, Gong, Zhengwei, Song, Jun

“…This study proposes an embedded traffic sign detection system, YOLOV5-MCBS, based on an enhanced YOLOv5 algorithm…”
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An Automatic Detection and Localization of Mammographic Microcalcifications ROI with Multi-Scale Features Using the Radiomics Analysis Approach by Tariq Mahmood, Jianqiang Li, Yan Pei, Faheem Akhtar, Azhar Imran, Muhammad Yaqub

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Lane marking detection algorithm based on high‐precision map and multisensor fusion by Yao, Haichang, Chen, Chen, Liu, Shangdong, Li, Kui, Ji, Yimu, Huang, Guangyan, Wang, Ruchuan

“… of the tree, and mixed lane markings and other signs, missing detection or wrong detection will occur for the traditional lane marking detection algorithm…”
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Attention-Enhanced One-Stage Algorithm for Traffic Sign Detection and Recognition by Huang, He, Liang, Qice, Luo, Dean, Lee, Dong Ha

“… Traditional detection and recognition methods no longer meet today’s needs, and object recognition algorithms based on deep learning have become the mainstream solution…”
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Fast Detection of Lane Based on Convolutional Neural Networks and Connected Components Constraints by Lou, Lu, Liu, Jinyu, Zhang, Qi, Huang, Darong, Zhou, Chenlin, Han, Jing

“…Lane detection is an important technical basis for the driverless system. The accuracy of lane detection using traditional algorithms could be affected…”
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Non-contact Radar Vital Sign Extraction Technology Based on Improved SSSC-EEMD by Wang, Xuejiao, Wen, Liang, Li, Hang, Li, Yan

“…) with a wavelet threshold algorithm. The validation results, based on real-world data, indicate that this algorithm can rapidly and accurately detect human vital signs through walls, outperforming traditional vital sign detection methods…”
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Round Traffic Sign Detection Algorithm by Huang, Yinrong, Wang, Bing, Yuan, Xiemin

“… Therefore, this paper proposes an algorithm that combines traditional methods with deep learning to detect circular traffic signs…”
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