Kim Donguk, Choi Jaehyuk
College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Sensors (Basel). 2019 Aug 23;19(17):3674. doi: 10.3390/s19173674.
A depth sensor with integrated frame difference detection is proposed. Instead of frame difference detection using light intensity, which is vulnerable to ambient light, the difference in depth between successive frames can be acquired. Because the conventional time-of-flight depth sensor requires two frames of depth-image acquisition with four-phase modulation, it has large power consumption, as well as a large area for external frame memories. Therefore, we propose a simple two-step comparison scheme for generating the depth frame difference in a single frame. With the proposed scheme, only a single frame is needed to obtain the frame difference, with less than half of the power consumption of the conventional depth sensor. Because the frame difference is simply generated by column-parallel circuits, no access of the external frame memory is involved, nor is a digital signal processor. In addition, we used an over-pixel metal-insulator-metal capacitor to store temporary signals for enhancing the area efficiency. A prototype chip was fabricated using a 90 nm backside illumination complementary metal-oxide-semiconductor (CMOS) image sensor process. We measured the depth frame difference in the range of 1-2.5 m. With a 10 MHz modulation frequency, a depth frame difference of >10 cm was successfully detected even for objects with different reflectivity. The maximum relative error from the difference of the reflectivity (white and wooden targets) was <3%.
本文提出了一种集成帧差检测功能的深度传感器。该传感器并非采用易受环境光影响的光强度帧差检测方法,而是能够获取连续帧之间的深度差异。传统的飞行时间深度传感器需要通过四相调制采集两帧深度图像,这不仅功耗大,还需要大面积的外部帧存储器。因此,我们提出了一种简单的两步比较方案,用于在单帧中生成深度帧差。采用该方案,仅需一帧即可获得帧差,功耗不到传统深度传感器的一半。由于帧差由列并行电路简单生成,因此无需访问外部帧存储器,也无需使用数字信号处理器。此外,我们使用了过像素金属-绝缘体-金属电容器来存储临时信号,以提高面积效率。我们采用90纳米背照式互补金属氧化物半导体(CMOS)图像传感器工艺制作了原型芯片。我们测量了1至2.5米范围内的深度帧差。在10兆赫调制频率下,即使对于不同反射率的物体,也成功检测到了大于10厘米的深度帧差。反射率差异(白色和木质目标)导致的最大相对误差小于3%。