Laser Journal, Volume. 46, Issue 1, 97(2025)

Roadside lidar drivable space detection based on improved FCN

ZHU Jinyu, YANG Ruonan, BAO Yujian, ZHANG Kai, TANG Erdi, and WANG Guiping*
Author Affiliations
  • School of Electrical and Control Engineering, Chang'an University, Xi'an 710064, China
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    References(14)

    [1] [1] Sun L, Zhang H, Yin W. Pseudo-LiDAR-based road detection[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(8): 5386-5398.

    [3] [3] Wang G, Wu J, He R, et al. Speed and accuracy tradeoff for LiDAR data based road boundary detection[J]. IEEE/CAA Journal of Automatica Sinica, 2020, 8(6): 1210-1220.

    [4] [4] Guo D, Yang G, Qi B, et al. Curb detection and compensation method for autonomous driving via a 3-D-LiDAR sensor[J]. IEEE Sensors Journal, 2022, 22(20): 19500-19512.

    [5] [5] Xiong H, Zhu T, Liu Y, et al. Road-Model-Based road boundary extraction for high definition map via LIDAR[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(10): 18456-18465.

    [6] [6] Lim H, Oh M, Myung H. Patchwork: Concentric zonebased region-wise ground segmentation with ground likelihood estimation using a 3D LiDAR sensor[J]. IEEE Robotics and Automation Letters, 2021, 6(4): 6458-6465.

    [8] [8] Zhu Z, Li X, Xu J, et al. Unstructured road segmentation based on road boundary enhancement point-cylinder network using LiDAR sensor[J]. Remote Sensing, 2021, 13(3): 495.

    [10] [10] Caltagirone L, Bellone M, Svensson L, et al. LIDAR-camera fusion for road detection using fully convolutional neural networks[J]. Robotics and Autonomous Systems, 2019, 111: 125-131.

    [11] [11] Gong B, Zhao B, Wang Y, et al. Lane Marking Detection Using Low-Channel Roadside LiDAR[J]. IEEE Sensors Journal, 2023.

    [12] [12] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2015: 3431-3440.

    [13] [13] Jiang W, Liu M, Peng Y, et al. HDCB-Net: A neural network with the hybrid dilated convolution for pixel-level crack detection on concrete bridges[J]. IEEE Transactions on Industrial Informatics, 2020, 17(8): 5485-5494.

    [14] [14] Zhao J, Xu H, Liu H, et al. Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors[J]. Transportation research part C: emerging technologies, 2019, 100: 68-87.

    [16] [16] Li L, Zhou T, Wang W, et al. Deep hierarchical semantic segmentation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022: 1246-1257.

    [17] [17] Niu Z, Zhong G, Yu H. A review on the attention mechanism of deep learning[J]. Neurocomputing, 2021, 452: 48-62.

    [18] [18] Yu C M, Chen K C, Chang C T, et al. SegNet: a network for detecting deepfake facial videos[J]. Multimedia Systems, 2022, 28(3): 793-814.

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    ZHU Jinyu, YANG Ruonan, BAO Yujian, ZHANG Kai, TANG Erdi, WANG Guiping. Roadside lidar drivable space detection based on improved FCN[J]. Laser Journal, 2025, 46(1): 97

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    Paper Information

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    Received: Jul. 27, 2024

    Accepted: Apr. 17, 2025

    Published Online: Apr. 17, 2025

    The Author Email: WANG Guiping (gpwang@chd.edu.cn)

    DOI:10.14016/j.cnki.jgzz.2025.01.097

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