Modeling of a sensitive time-of-flight flash LiDAR system

Author(s):  
V. Fathipour ◽  
S. Wheaton ◽  
W. E. Johnson ◽  
H. Mohseni
Author(s):  
Victor E. S. Parahyba ◽  
Eric de Borniol ◽  
Regis Perrier ◽  
Yoanna-Reine R. Nowicki-Bringuier ◽  
Alessandra Ciapponi ◽  
...  
Keyword(s):  

2019 ◽  
Vol 9 (11) ◽  
pp. 2206 ◽  
Author(s):  
Lucio Carrara ◽  
Adrian Fiergolski

This paper describes an optical interference suppression scheme that allows flash light detection and ranging (LiDAR) imagers to run safely and reliably in uncontrolled environments where multiple LiDARs are expected to operate concurrently. The issue of optical interference is a potential show-stopper for the adoption of flash LiDAR as a technology of choice in multi-user application fields such as automotive sensing and autonomous vehicle navigation. The relatively large emission angle and field of view of flash LiDAR imagers make them especially vulnerable to optical interference. This work illustrates how a time-correlated single-photon counting LiDAR can control the timing of its laser emission to reduce its statistical correlation to other modulated or pulsed light sources. This method is based on a variable random delay applied to the laser pulse generated by LiDAR and to the internal circuitry measuring the time-of-flight. The statistical properties of the pseudorandom sequence of delays determines the effectiveness of LiDAR resilience against unintentional and intentional optical interference. For basic multi-camera operation, a linear feedback shift register (LFSR) was used as a random delay generator, and the performance of the interference suppression was evaluated as a function of sequence length and integration time. Direct interference from an identical LiDAR emitter pointed at the same object was reduced up to 50 dB. Changing integration time between 10 ms and 100 ms showed a marginal impact on the performance of the suppression (less than 3 dB deviation). LiDAR signal integrity was characterized during suppression, obtaining a maximum relative deviation of the measured time-of-flight of 0.1%, and a maximum deviation of measurements spread (full-width half-maximum) of 3%. The LiDAR signal presented an expected worst-case reduction in intensity of 25%.


Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5203
Author(s):  
Alessandro Tontini ◽  
Leonardo Gasparini ◽  
Matteo Perenzoni

We present a Montecarlo simulator developed in Matlab® for the analysis of a Single Photon Avalanche Diode (SPAD)-based Complementary Metal-Oxide Semiconductor (CMOS) flash Light Detection and Ranging (LIDAR) system. The simulation environment has been developed to accurately model the components of a flash LIDAR system, such as illumination source, optics, and the architecture of the designated SPAD-based CMOS image sensor. Together with the modeling of the background noise and target topology, all of the fundamental factors that are involved in a typical LIDAR acquisition system have been included in order to predict the achievable system performance and verified with an existing sensor.


2016 ◽  
Vol 24 (26) ◽  
pp. A1580 ◽  
Author(s):  
Sungeun Jo ◽  
Hong Jin Kong ◽  
Hyochoong Bang ◽  
Jae-Wan Kim ◽  
Jomsool Kim ◽  
...  

2019 ◽  
Vol 54 (11) ◽  
pp. 2947-2956 ◽  
Author(s):  
Sam W. Hutchings ◽  
Nick Johnston ◽  
Istvan Gyongy ◽  
Tarek Al Abbas ◽  
Neale A. W. Dutton ◽  
...  

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Seung-Han Chung ◽  
Sung-Woo Lee ◽  
Seung-Ki Lee ◽  
Jae-Hyoung Park

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