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RoomsSan: Indoor Layout Reconstruction via Reflective Path

机译:房间:通过反光路径室内布局重建

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In this work, we leverage the reflection property explored in our experimental results and propose an efficient and effective algorithm for the reconstruction of the layout. The proposed algorithm identifies the reflective path, which is caused by obstacle, and evaluated by the difference of Angle of Arrival (AoA) at each transceiver deployed at the room. Then with the knowledge of AoA corresponding to the affected reflective path, the reflection points can be calculated. These reflection points could be used to outline the surface of obstacle. Moreover, we can estimate the shape, size, and location of the obstacle by using AlphaShape algorithm. The simulation results prove the effectiveness of our algorithm.
机译:在这项工作中,我们利用我们的实验结果中探索的反思财产,并提出了一种高效有效的布局重建算法。所提出的算法识别由障碍物引起的反射路径,并通过在房间部署的每个收发器的到达角度(AOA)的差异评估。然后,随着对应于受影响的反射路径的AOA的知识,可以计算反射点。这些反射点可用于概述障碍物的表面。此外,我们可以通过使用alphashape算法来估算障碍物的形状,尺寸和位置。仿真结果证明了我们算法的有效性。

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