Monte Carlo simulation of laser beam scattering by water droplets

Wang, Biao; Tong, Guang-De; Lin, Jingrong

doi:10.1117/12.2035033

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…Secondly, back-scatter from the rain may result in a false positive detection from a rain droplet. Regarding false-positives, several studies have found that given geometrical considerations [9] and scattering properties of rain [10], false positives are very unlikely for modern automotive LIDAR sensors that are commonly used on ADAS systems. Therefore, in this work a model of the intensity reduction, and corresponding range reduction, caused by rain is developed.…”

Section: Methodsmentioning

confidence: 99%

Predicting the Influence of Rain on LIDAR in ADAS

et al. 2019

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While it is well known that rain may influence the performance of automotive LIDAR sensors commonly used in ADAS applications, there is a lack of quantitative analysis of this effect. In particular, there is very little published work on physically-based simulation of the influence of rain on terrestrial LIDAR performance. Additionally, there have been few quantitative studies on how rain-rate influences ADAS performance. In this work, we develop a mathematical model for the performance degradation of LIDAR as a function of rain-rate and incorporate this model into a simulation of an obstacle-detection system to show how it can be used to quantitatively predict the influence of rain on ADAS that use LIDAR.

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Section: Methodsmentioning

confidence: 99%

Predicting the Influence of Rain on LIDAR in ADAS

et al. 2019

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“…Regarding false positives in the LiDAR point cloud introduced by rain, Fersch et al (2016) and Wang et al (2013) found there is a negligible chance of false positives caused by backscatter from raindrops, even for heavy rain. For ranges less than 5 m, Rasshofer et al (2011) found a false alarm rate of 2.5 −1 −1 for LiDAR in heavy snowfall.…”

Section: Modeling the Influence Of Rain On Automotive Lidar Sensorsmentioning

confidence: 99%

Sensor and environment physics in the Virtual Autonomous Navigation Environment (VANE)

Carrillo¹,

Goodin²,

Fernández³

2020

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This report documents the physics models that are implemented in the Virtual Autonomous Navigation Environment (VANE), a sensor simulator that uses physics-based ray tracing to simulate common robotic sensors such as cameras, LiDAR, GPS, and automotive RADAR. The report will provide information about the underlying assumptions and implementation details regarding the physics models used in VANE simulations. These include surface reflectance and texture models, atmospheric models, weather effects, and sensor properties.The purpose of this report is to provide information for VANE users, developers, and analysts who would like to use the VANE for sensor simulations. DISCLAIMER:The contents of this report are not to be used for advertising, publication, or promotional purposes. Citation of trade names does not constitute an official endorsement or approval of the use of such commercial products. All product names and trademarks cited are the property of their respective owners. The findings of this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents.

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“…Monte Carlo simulation is a very effective method to solve the problem of random distribution for laser transmission. However, there are two problems using classical Monte Carlo model to estimate the link attenuation in fog channel: Firstly, some papers used the fog drop size distribution and scattering cross-sections to calculate attenuation coefficient [8,10,11], but neither the fog drop size distribution nor scattering cross-sections of channel can be measured easily in practice, so this simulation method is not highly practical. Secondly, the influence of receiving parameters on link attenuation has not been analyzed which made the estimation deviations were eventually not fall within the acceptable range for link budget analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Secondly, the influence of receiving parameters on link attenuation has not been analyzed which made the estimation deviations were eventually not fall within the acceptable range for link budget analysis. [8,[10][11][12][13] The multiple scattering process will cause the spot space to expand, the divergence angle to diffuse and the time domain to expand for the pulse signal. Different receiving parameters, such as receiving aperture and receiving field-of-view, will cause different link attenuation [14].…”

Section: Introductionmentioning

confidence: 99%

The Link Attenuation Model Based on Monte Carlo Simulation for Laser Transmission in Fog Channel

Liu

Zhao

et al. 2020

IEEE Photonics J.

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Free space optical (FSO) systems were usually designed according to the link budget analysis. However, the previous link attenuation estimations for fog channel were not precise. The link budget would be distorted, and resulting in the robustness degeneration of FSO system. Therefore, it is necessary to establish an accurate link attenuation model of fog channel. The previous models were mainly adopted by the Beer-Lambert law, or by classical Monte Carlo simulation combined with the fog drop size distribution. Unfortunately, the estimation deviation was eventually not fall within the acceptable range for FSO link budget analysis. We established a link attenuation model based on Monte Carlo simulation and Kim formula. Our model took the influence of multiple scattering and receiving parameters into consideration, and without the measurement of the fog drop size distribution and scattering cross-sections. The fog experiment was set up to verify the analysis results. And the experiment results revealed that the estimation deviation RMSE (root mean square error) < 1, which validated the accuracy of link attenuation model. The link attenuation model can be used to strengthen the link budget analysis of FSO system and guide the parameter design of future FSO communication system under fog channel.

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Monte Carlo simulation of laser beam scattering by water droplets

Cited by 4 publications

References 13 publications

Predicting the Influence of Rain on LIDAR in ADAS

Predicting the Influence of Rain on LIDAR in ADAS

Sensor and environment physics in the Virtual Autonomous Navigation Environment (VANE)

The Link Attenuation Model Based on Monte Carlo Simulation for Laser Transmission in Fog Channel

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