Non-line-of-sight (NLOS) detecting technology is used to locate and track a hidden object through scattered light after three reflections. This technology is expected to be applied in automatic driving, danger rescue, etc. Herein, we improve the real-time performance of NLOS detection in two aspects. Firstly, we introduce the method of dynamic programming to detect extremely weak signals from the hidden object based on current and previous information, which can unmix the target signal from noise at a shorter exposure time. Secondly, we simplify the positioning method by extracting the time difference from the histogram and training a feed-forward network that speeds up the process of spatial positioning. Based on the improvements, we demonstrated fast tracking experiments in a corridor 20 m away, tracking a moving hidden object at framerates of 50 Hz. These improvements make NLOS fast detection a step forward.

中文翻译：

---

走廊中的非视线快速跟踪

非视距（NLOS）检测技术通过三次反射后的散射光来定位和跟踪隐藏物体。该技术有望应用于自动驾驶、危险救援等领域。在此，我们从两个方面提升NLOS检测的实时性。首先，我们引入了动态规划的方法，根据当前和先前的信息从隐藏对象中检测出极弱的信号，可以在更短的曝光时间内将目标信号与噪声分开。其次，我们通过从直方图中提取时间差并训练加速空间定位过程的前馈网络来简化定位方法。基于改进，我们在 20 m 外的走廊上演示了快速跟踪实验，以 50 Hz 的帧率跟踪移动的隐藏对象。这些改进使 NLOS 快速检测向前迈进了一步。