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Privacy-Preserving Indoor Localization via Active Scene Illumination

机译:通过主动场景照明保留隐私保留室内定位

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Traditional camera-based indoor localization systems use visual information to resolve the position of an object or person. This approach, however, may not be acceptable in privacy-sensitive scenarios since high-resolution images may reveal room and occupant details to eavesdroppers. In this paper, we address privacy concerns by replacing cameras with a small network of extremely low resolution color sensors. To make the system robust to ambient lighting fluctuations, we modulate an array of LED light sources to actively control the illumination while recording the light received by the sensors. We quantitatively validate the performance of our localization approach through simulations and real testbed experiments. We quantify the impact of sensor noise and changes in ambient illumination on localization accuracy. Finally, we demonstrate the superior performance of localization via active illumination compared to passive illumination where LEDs produce constant light.
机译:基于传统的基于相机的室内定位系统使用可视信息来解决对象或人的位置。然而,这种方法可能在隐私敏感场景中可能无法接受,因为高分辨率图像可以向窃听者揭示房间和乘员细节。在本文中,我们通过用极低分辨率颜色传感器的小网络替换相机来解决隐私问题。为了使系统稳健地对环境照明波动,我们调制一系列LED光源,以在记录传感器接收的光时主动控制照明。我们通过模拟和实际测试的实验定量验证了我们本地化方法的性能。我们量化了传感器噪声的影响和环境照明的变化对本地化精度。最后,与LED产生恒定光的被动照明相比,我们通过主动照明展示了通过主动照明的卓越性能。

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