Suchergebnisse - Traditional-based sign detection algorithm

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  1. 1

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

    ISSN: 2590-1230, 2590-1230
    Veröffentlicht: Elsevier B.V 01.12.2024
    Veröffentlicht in Results in engineering (01.12.2024)
    “… •Hybrid algorithms for Traffic Sign detection are thoroughly reviewed.•A deep learning is analyzed using regression, segmentation, and hybrid methods …”
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    Journal Article
  2. 2

    YOLO-BS: a traffic sign detection algorithm based on YOLOv8 von Zhang, Hong, Liang, Mingyin, Wang, Yufeng

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 04.03.2025
    Veröffentlicht in Scientific reports (04.03.2025)
    “… This paper reviews traditional traffic sign detection methods and introduces an enhanced detection algorithm (YOLO-BS) based on YOLOv8 …”
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    Journal Article
  3. 3

    Research and Implementation of an Embedded Traffic Sign Detection Model Using Improved YOLOV5 von Hu, Tong, Gong, Zhengwei, Song, Jun

    ISSN: 1229-9138, 1976-3832
    Veröffentlicht: Seoul The Korean Society of Automotive Engineers 01.08.2024
    Veröffentlicht in International journal of automotive technology (01.08.2024)
    “… This study proposes an embedded traffic sign detection system, YOLOV5-MCBS, based on an enhanced YOLOv5 algorithm …”
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    Lane marking detection algorithm based on high‐precision map and multisensor fusion von Yao, Haichang, Chen, Chen, Liu, Shangdong, Li, Kui, Ji, Yimu, Huang, Guangyan, Wang, Ruchuan

    ISSN: 1532-0626, 1532-0634
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 10.04.2022
    Veröffentlicht in Concurrency and computation (10.04.2022)
    “… 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 von Huang, He, Liang, Qice, Luo, Dean, Lee, Dong Ha

    ISSN: 1687-725X, 1687-7268
    Veröffentlicht: New York Hindawi 04.03.2022
    Veröffentlicht in Journal of sensors (04.03.2022)
    “… 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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    Journal Article
  7. 7

    Fast Detection of Lane Based on Convolutional Neural Networks and Connected Components Constraints von Lou, Lu, Liu, Jinyu, Zhang, Qi, Huang, Darong, Zhou, Chenlin, Han, Jing

    Veröffentlicht: IEEE 01.05.2019
    “… 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 von Wang, Xuejiao, Wen, Liang, Li, Hang, Li, Yan

    Veröffentlicht: IEEE 11.04.2024
    “… ) 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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  9. 9

    Round Traffic Sign Detection Algorithm von Huang, Yinrong, Wang, Bing, Yuan, Xiemin

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: Bristol IOP Publishing 01.01.2022
    Veröffentlicht in Journal of physics. Conference series (01.01.2022)
    “… Therefore, this paper proposes an algorithm that combines traditional methods with deep learning to detect circular traffic signs …”
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