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A Safe Fault Tolerant Multi-view Approach for Vision-Based Protective Devices

机译:基于视觉的保护设备的安全容错多视图方法

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We present a new approach that realizes an imagebasedfault tolerant distance computation for a multi-viewcamera system which conservatively approximates theshortest distance between unknown objects and 3Dvolumes. Our method addresses the industrial applicationof vision-based protective devices which are used to detectintrusions of humans into areas of dangerous machinery,in order to prevent injuries. This requires hardwareredundancy for compensation of hardware failureswithout loss of functionality and safety. By taking sensorfailures during the fusion process of distances fromdifferent cameras into account, this is realized implicitly,with the benefit of no additional hardware cost. Inparticular we employ multiple camera perspectives forsafe and non-conservative occlusion handling of obstaclesand formulate general system assumptions which are alsoappropriate for other applications like multi-viewreconstruction methods.
机译:我们提出了一种新方法,该方法为多视图相机系统实现了基于图像的容错距离计算,该系统保守地估计了未知对象和3D体积之间的最短距离。我们的方法解决了基于视觉的防护设备在工业上的应用,该防护设备用于检测人类入侵危险机械区域,以防止伤害。这需要硬件冗余来补偿硬件故障,同时又不损失功能和安全性。通过考虑到距离不同摄像机的距离融合过程中的传感器故障,可以隐式实现这一点,而无需额外的硬件成本。特别是,我们采用多个摄像机视角来安全且非保守地处理障碍物,并制定了适用于其他应用程序(如多视图重建方法)的一般系统假设。

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