Note: Temperature compensation of time-of-flight light detection and ranging (LiDAR) using feedback control of signal-to-noise ratio of photodetector

2018 ◽  
Vol 89 (12) ◽  
pp. 126108
Author(s):  
Bumsik Won ◽  
Junhwan Jang ◽  
Sungui Hwang ◽  
Kyihwan Park
Keyword(s):  
Feedback Control ◽  
Temperature Compensation ◽  
Signal To Noise Ratio ◽  
Time Of Flight ◽  
Light Detection And Ranging ◽  
Signal To Noise ◽  
Light Detection ◽  
Noise Ratio

scholarly journals Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ji Hyun Nam ◽  
Eric Brandt ◽  
Sebastian Bauer ◽  
Xiaochun Liu ◽  
Marco Renna ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Time Of Flight ◽  
Motion Blur ◽  
Line Of Sight ◽  
Low Latency ◽  
Imaging Method ◽  
Signal To Noise ◽  
Array Detectors ◽  
Noise Ratio ◽  
Non Line Of Sight

AbstractNon-Line-Of-Sight (NLOS) imaging aims at recovering the 3D geometry of objects that are hidden from the direct line of sight. One major challenge with this technique is the weak available multibounce signal limiting scene size, capture speed, and reconstruction quality. To overcome this obstacle, we introduce a multipixel time-of-flight non-line-of-sight imaging method combining specifically designed Single Photon Avalanche Diode (SPAD) array detectors with a fast reconstruction algorithm that captures and reconstructs live low-latency videos of non-line-of-sight scenes with natural non-retroreflective objects. We develop a model of the signal-to-noise-ratio of non-line-of-sight imaging and use it to devise a method that reconstructs the scene such that signal-to-noise-ratio, motion blur, angular resolution, and depth resolution are all independent of scene depth suggesting that reconstruction of very large scenes may be possible.

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