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Real-time urban street view semantic segmentation based on cross-layer aggregation network
Information Sciences | 更新时间：2024-05-08
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    • Real-time urban street view semantic segmentation based on cross-layer aggregation network

    • “随着自动驾驶技术的日新月异，城市街景语义分割技术作为自动驾驶技术中的关键环节，正逐渐受到关注。一项新的研究成果在实时城市街景语义分割领域取得了显著突破。研究团队针对当前语义分割算法面临的挑战，如像素区分不清晰、复杂场景理解不精准以及小尺度对象分割不准确等问题，提出了一种基于跨层次聚合网络的实时城市街景语义分割算法。该算法通过结合跨层次聚合的金字塔池化模块、通道注意力机制以及多尺度融合模块，实现了对多尺度上下文信息的有效提取和特征复用，促进了深层特征与浅层特征的融合。经过在Cityscapes和CamVid两个通用城市街景数据集上的验证，该算法在准确性和实时性之间取得了有效平衡，相较于其他算法在语义分割性能上有显著提升。实验结果表明，该算法在一张RTX3090显卡上以294 FPS的实时性达到73.0% mIoU的准确性，为实时城市街景语义分割领域带来了新的突破。这一研究成果不仅为自动驾驶技术的发展提供了有力支持，也为实时城市街景语义分割领域的研究开辟了新的方向。”
      ”
    • Optics and Precision Engineering   Vol. 32, Issue 8, Pages: 1212-1226(2024)

    • DOI：10.37188/OPE.20243208.1212    

      CLC： TP394.1

    • Published：25 April 2024，

      Received：21 October 2023，

      Revised：01 December 2023，

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  • HOU Zhiqiang,CHENG Minjie,MA Sugang,et al.Real-time urban street view semantic segmentation based on cross-layer aggregation network[J].Optics and Precision Engineering,2024,32(08):1212-1226. DOI： 10.37188/OPE.20243208.1212.

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