2017 Symposium on VLSI Circuits 2017
DOI: 10.23919/vlsic.2017.8008511
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320×240 Back-illuminated 10μm CAPD pixels for high speed modulation Time-of-Flight CMOS image sensor

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Cited by 21 publications
(20 citation statements)
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“…In order to expand the application areas of TOF imagers, improvements for depth resolution under aggressive conditions, such as longer distance and stronger ambient light, are necessary. Indirect TOF image sensors are classified into two types: a continuous-wave (CW) TOF method [1][2][3][4][5][6][7][8][9] and a short-pulse (SP) TOF method [10][11][12][13][14][15]. In CW-TOF imagers, the high depth resolution and longer distance measurements are simultaneously realized by using higher and multiple (2 or 3) modulation frequencies [5,8].…”
Section: Introductionmentioning
confidence: 99%
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“…In order to expand the application areas of TOF imagers, improvements for depth resolution under aggressive conditions, such as longer distance and stronger ambient light, are necessary. Indirect TOF image sensors are classified into two types: a continuous-wave (CW) TOF method [1][2][3][4][5][6][7][8][9] and a short-pulse (SP) TOF method [10][11][12][13][14][15]. In CW-TOF imagers, the high depth resolution and longer distance measurements are simultaneously realized by using higher and multiple (2 or 3) modulation frequencies [5,8].…”
Section: Introductionmentioning
confidence: 99%
“…Indirect TOF image sensors are classified into two types: a continuous-wave (CW) TOF method [1][2][3][4][5][6][7][8][9] and a short-pulse (SP) TOF method [10][11][12][13][14][15]. In CW-TOF imagers, the high depth resolution and longer distance measurements are simultaneously realized by using higher and multiple (2 or 3) modulation frequencies [5,8]. On the other hand, in the SP-TOF method, the depth resolution is improved by making the gating-time width shorter, and the distance is extended by increasing the number of signal taps of the pixel and by using range-shifting techniques [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…It has been shown that through the aid of capturing the local angle of incidence and the intensity of light received, the whole 3D information of the recorded scene can be reconstructed. In order to provide solutions to this problem, numerous methods for 3D picture image capture have been proposed within the literature, including Time-of-Flight (ToF) [19,20], multi-apertures [21][22][23], Talbot's proposed within the literature, including Time-of-Flight (ToF) [19,20], multi-apertures [21][22][23], Talbot's diffraction pixels set [24][25][26], division of amplitude [27], division of focal plane microgrid (DoFP) with polarization pixel filters [24,[28][29][30] and quadrature pixels [9,25,26]. Disadvantages of the previous techniques include additional laser source and time to process the laser signal in ToF, a large amount of micro-lens that require a very large imager array in the case of multi-apertures image sensors, and a large number of pixels to decode angle variations that involves non-trivial post-processing in the case of Talbot's pixels.…”
Section: Introductionmentioning
confidence: 99%
“…For this reason, the system requires two-dimensional scanning, leading to higher cost and limited frame rate. The other candidate is indirect ToF sensors based on lock-in pixels [3][4][5], which is suitable for increasing the pixel count, and plenty of ToF sensors have been reported. Using indirect ToF sensors, the scanning system can be simplified to one dimension, and the resulting speed and spatial resolution can be increased.…”
Section: Introductionmentioning
confidence: 99%