Various algorithms based on deep learning have achieved promising results in pavement distress detection. However, the detected distresses are not tracked throughout the life cycle. In long-term application scenarios, pavement distresses may take on different forms due to image acquisition mode, distress development, and environmental change, which make tracking distresses a tough question. We present in this study a spatiotemporal matching method based on high-frequency real pavement distress datasets. Pavement distresses of fixed routes were collected 30 times over 5 months, and distresses with spatiotemporal information were obtained at time series. We apply image rectification, stitching and distress class, and bounding box generation algorithms for pre-processing to align the collected images to the same-detail level and angle. A four-step spatiotemporal matching module is designed, including global positioning system (GPS) filtering, class filtering, relative position filtering, and distress feature filtering. The results reveal that the comprehensive rank-3 hit rate of the matching method reaches 88.73%, and the method is robust to environmental factors, which helps show performance decay of distresses and the effect of maintenance operations. It is concluded that the spatiotemporal matching method is convenient to operate, and it lays the foundation for an agency to track distress evolution and make timely treatment of distresses in the life cycle.

中文翻译：

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利用高频检测数据追踪路面病害的时空匹配方法

基于深度学习的各种算法在路面病害检测方面取得了可喜的成果。然而，检测到的问题并没有在整个生命周期中进行跟踪。在长期的应用场景中，由于图像采集方式、病害发展、环境变化等原因，路面病害可能呈现出不同的形式，这使得病害跟踪成为一个难题。我们在这项研究中提出了一种基于高频真实路面病害数据集的时空匹配方法。5个月内对固定路线的路面病害进行了30次采集，并按时间序列获得了具有时空信息的病害。我们应用图像校正、拼接和遇险类别以及边界框生成算法进行预处理，以将收集的图像对齐到相同的细节级别和角度。设计了四步时空匹配模块，包括全球定位系统（GPS）过滤、类别过滤、相对位置过滤和遇险特征过滤。结果表明，该匹配方法的综合三级命中率达到88.73%，且该方法对环境因素具有鲁棒性，有助于显示故障情况下的性能衰减和维护操作的效果。结论表明，时空匹配方法操作方便，为机构跟踪生命周期内的灾害演化、及时处理灾害奠定了基础。结果表明，该匹配方法的综合三级命中率达到88.73%，且该方法对环境因素具有鲁棒性，有助于显示故障情况下的性能衰减和维护操作的效果。结论表明，时空匹配方法操作方便，为机构跟踪生命周期内的灾害演化、及时处理灾害奠定了基础。结果表明，该匹配方法的综合三级命中率达到88.73%，且该方法对环境因素具有鲁棒性，有助于显示故障情况下的性能衰减和维护操作的效果。结论表明，时空匹配方法操作方便，为机构跟踪生命周期内的灾害演化、及时处理灾害奠定了基础。