An Operational System for Estimating Road Traffic Information from Aerial Images
An Operational System for Estimating Road Traffic Information from Aerial Images
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DOI：
10.3390/rs61111315
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发表时间：
2014-11-01
期刊：
影响因子：
5
通讯作者：
Reinartz, Peter
中科院分区：
文献类型：
--
作者：
Leitloff, Jens;Rosenbaum, Dominik;Reinartz, Peter
鉴于用于交通监测的地面固定基础设施几乎无法处理日常交通量，在发生大规模事件或灾难的情况下，这些基础设施存在完全失灵的风险。在这项工作中，我们提出了一种基于机载光学传感器系统的灾害和群体性事件交通监测的替代方法。利用该系统，在飞机上自动检查光学图像序列，以估计道路交通信息，如车辆位置、速度和行驶方向。在船上实时估计的交通信息立即被下行到地面站。机载传感器系统由一个三头摄像系统、一个实时GPS/INS单元、五台工业PC机和一个下行单元组成。自动提取交通信息的处理链包括图像和导航数据流同步模块、正射纠正模块以及车辆检测和跟踪模块。车辆检测器基于AdaBoost和支持向量机分类器的组合。车辆跟踪依赖于基于形状的匹配算子。在几个战役期间记录的大量图像序列上对处理链进行评估，并将数据质量与从感应循环获得的数据质量进行比较。综上所述，机载系统提取的交通数据的总体质量在68%~81%之间。因此，它可以与从固定地面传感器网络获得的数据相媲美。
Given that ground stationary infrastructures for traffic monitoring are barely able to handle everyday traffic volumes, there is a risk that they could fail altogether in situations arising from mass events or disasters. In this work, we present an alternative approach for traffic monitoring during disaster and mass events, which is based on an airborne optical sensor system. With this system, optical image sequences are automatically examined on board an aircraft to estimate road traffic information, such as vehicle positions, velocities and driving directions. The traffic information, estimated in real time on board, is immediately downlinked to a ground station. The airborne sensor system consists of a three-head camera system, a real-time-capable GPS/INS unit, five industrial PCs and a downlink unit. The processing chain for automatic extraction of traffic information contains modules for the synchronization of image and navigation data streams, orthorectification and vehicle detection and tracking modules. The vehicle detector is based on a combination of AdaBoost and support vector machine classifiers. Vehicle tracking relies on shape-based matching operators. The processing chain is evaluated on a large number of image sequences recorded during several campaigns, and the data quality is compared to that obtained from induction loops. In summary, we can conclude that the achieved overall quality of the traffic data extracted by the airborne system is in the range of 68% and 81%. Thus, it is comparable to data obtained from stationary ground sensor networks.