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Anchor-free arbitrary-oriented construction vehicle detection with orientation-aware Gaussian heatmap
Computer-Aided Civil and Infrastructure Engineering ( IF 9.6 ) Pub Date : 2022-10-28 , DOI: 10.1111/mice.12940 Yapeng Guo 1 , Yang Xu 2 , Jin Niu 1 , Shunlong Li 1
Computer-Aided Civil and Infrastructure Engineering ( IF 9.6 ) Pub Date : 2022-10-28 , DOI: 10.1111/mice.12940 Yapeng Guo 1 , Yang Xu 2 , Jin Niu 1 , Shunlong Li 1
Affiliation
Effective detection of arbitrary-oriented construction vehicles is critical for ensuring construction site safety. Current construction vehicle detection methods are mostly anchor-based, which require complex manual setting for anchor proposals. This study proposes an anchor-free network for arbitrary-oriented construction vehicle detection with an orientation-aware Gaussian heatmap, which constructs a more appropriate intermediate state and provides more learnable information to accelerate training convergence and improve inference accuracy. The proposed network comprises feature extraction and regression parts. The former is used to extract multilevel features and restore the spatial information of construction vehicles, while the latter regresses the identification tuple including center point position, offset, width, height, and orientation angle in orientation-aware bounding boxes. Moreover, this study created a multiscale dataset captured from 18 different actual construction sites for training and verification, including 600 images and 1570 construction vehicles. Comparisons with different state-of-the-art methods (including anchor-based, anchor-free and segmentation-based methods) demonstrate the accuracy and effectiveness of the proposed method.
中文翻译:
具有方向感知高斯热图的无锚任意方向施工车辆检测
有效检测任意方向的施工车辆对于确保施工现场安全至关重要。目前的工程车辆检测方法大多是基于anchor的,需要复杂的人工设置anchor proposals。本研究提出了一种用于任意方向施工车辆检测的无锚网络,具有方向感知高斯热图,可构建更合适的中间状态并提供更多可学习信息,以加速训练收敛并提高推理精度。所提出的网络包括特征提取和回归部分。前者用于提取多层次特征,恢复施工车辆的空间信息,后者则回归识别元组,包括中心点位置、偏移量、宽度、高度、和方向感知边界框中的方向角。此外,本研究还创建了一个从 18 个不同的实际施工现场捕获的多尺度数据集,用于训练和验证,包括 600 张图像和 1570 辆施工车辆。与不同的最新方法(包括基于锚点、无锚点和基于分割的方法)的比较证明了所提出方法的准确性和有效性。
更新日期:2022-10-28
中文翻译:
具有方向感知高斯热图的无锚任意方向施工车辆检测
有效检测任意方向的施工车辆对于确保施工现场安全至关重要。目前的工程车辆检测方法大多是基于anchor的,需要复杂的人工设置anchor proposals。本研究提出了一种用于任意方向施工车辆检测的无锚网络,具有方向感知高斯热图,可构建更合适的中间状态并提供更多可学习信息,以加速训练收敛并提高推理精度。所提出的网络包括特征提取和回归部分。前者用于提取多层次特征,恢复施工车辆的空间信息,后者则回归识别元组,包括中心点位置、偏移量、宽度、高度、和方向感知边界框中的方向角。此外,本研究还创建了一个从 18 个不同的实际施工现场捕获的多尺度数据集,用于训练和验证,包括 600 张图像和 1570 辆施工车辆。与不同的最新方法(包括基于锚点、无锚点和基于分割的方法)的比较证明了所提出方法的准确性和有效性。