The poor lateral and depth resolution of state-of-the-art 3D sensors based on the time-of-flight (ToF) principle has limited widespread adoption to a few niche applications. In this work, we introduce a novel sensor concept that provides ToF-based 3D measurements of real world objects and surfaces with depth precision up to 35m and point cloud densities commensurate with the native sensor resolution of standard CMOS/CCD detectors (up to several megapixels). Such capabilities are realized by combining the best attributes of continuous wave ToF sensing, multi-wavelength interferometry, and heterodyne interferometry into a single approach. We describe multiple embodiments of the approach, each featuring a different sensing modality and associated tradeoffs.

中文翻译：

---

利用波长分集进行高分辨率的飞行时间3D成像。

基于飞行时间（ToF）原理的最新3D传感器的横向和深度分辨率差，已将其广泛应用限制在少数利基应用中。在这项工作中，我们介绍了一种新颖的传感器概念，该模型提供了基于ToF的真实对象和表面的3D测量，深度精度高达35m，并且点云密度与标准CMOS / CCD检测器的原始传感器分辨率（高达几百万像素）相称。 ）。通过将连续波ToF感测，多波长干涉测量和外差干涉测量的最佳属性组合到单个方法中，可以实现这种功能。我们描述了该方法的多个实施例，每个实施例均具有不同的感测方式和相关的权衡。