非视域(Non-Line-of-Sight, NLOS)成像技术可以对被其他物体遮挡住(如拐角处、烟雾后等)的隐藏目标进行探测和成像,因此在机器视觉、安防、医学影像、灾难救援和自动驾驶等领域具有重要的应用价值。该技术通过利用脉冲激光束和时域信号探测器扫描特定表面来实现上述功能。目前NLOS技术仍然存在诸多不足之处,比如扫描时间长、计算时间长等。针对这些情况,提出了一种凝视型快速探测与重建方法。模拟结果表明,该方法可探测高反射物体,并可有效增大视域范围。

Non-Line-of-Sight (NLOS) imaging can be used to detect and image hidden objects around the corner, behind smoke and so on. It is of important value to many research fields like machine vision, public security, medical imaging, disaster relief and autonomous vehicles. This technology utilizes a pulsed laser and a time-resolved detector to scan and detect a certain surface. At present, NLOS imaging still has some shortcomings such as time-consuming in scanning and computer-reconstruction. To overcome these shortcomings, a rapid staring detection and reconstruction method is proposed. The simulation results show that it can be used to detect highly-scattered objects and widen the field of view effectively.