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Reconfiguration of noisefloor-, threshold-, power-references. (#35)
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* Reconfiguration of noisefloor-, threshold-, power-references.

* Additional node for ADC-Quantization-Effect

* Change of decomposition block in -Received power below detection threshold-
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@TimoHinsemann
TimoHinsemann authored Sep 28, 2023
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Showing 1 changed file with 18 additions and 9 deletions.
27 changes: 18 additions & 9 deletions data.json
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},
{
"id": "2",
"parentIds": ["0", "1"],
"parentIds": ["39", "1"],
"title": "Detection threshold",
"decomBlock": "Detection identification",
"description": "Measured radiation power impulses are determinated as detections only if detection threshold, e.g. power level threshold, is exceeded.",
"references": "[0, Espineira et al., Realistic LiDAR With Noise Model for Real-Time Testing of Automated Vehicles in a Virtual Environment, https://ieeexplore.ieee.org/document/9354172/] [1, Espineira et al., Realistic LiDAR With Noise Model for Real-Time Testing of Automated Vehicles in a Virtual Environment, https://ieeexplore.ieee.org/document/9354172/]",
"references": "[39, Espineira et al., Realistic LiDAR With Noise Model for Real-Time Testing of Automated Vehicles in a Virtual Environment, https://ieeexplore.ieee.org/document/9354172/] [39, Jiang et al., Adaptive Suppression Method of LiDAR Background Noise Based on Threshold Detection, https://www.mdpi.com/2076-3417/13/6/3772, Adaptive adjustment of the signal detection threshold in order to maintain the TNR (Threshold Noise Ratio).] [1, Espineira et al., Realistic LiDAR With Noise Model for Real-Time Testing of Automated Vehicles in a Virtual Environment, https://ieeexplore.ieee.org/document/9354172/]",
"nodeType": "designParameter"
},
{
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{
"id": "39",
"parentIds": ["0"],
"title": "Not distinguishable from noise floor",
"title": "Received power below detection threshold",
"decomBlock": "Pre-processing",
"description": "The power received from the reflective surface of the object of interest present in ground truth is mathematically or visually not distinguishable from noise.",
"description": "The power received from the reflective surface of the object of interest present in ground truth does not exceed the static/dynamic detection threshold.",
"references": "[0, Espineira et al., Realistic LiDAR With Noise Model for Real-Time Testing of Automated Vehicles in a Virtual Environment, https://ieeexplore.ieee.org/document/9354172/]",
"nodeType": "effect"
},
Expand All @@ -104,7 +104,7 @@
"title": "Noise floor",
"decomBlock": "Pre-processing",
"description": "Variety of unintentionally measured radiation power impulses.",
"references": "[39, Liu et al., A dual-rate multi-filter algorithm for LiDAR-aided indoor navigation systems, http://ieeexplore.ieee.org/document/6851467/] [39, Maksymova et al., Review of LiDAR Sensor Data Acquisition and Compression for Automotive Applications, http://www.mdpi.com/2504-3900/2/13/852, See signal to noise ratio (SNR)] [1, Lichti et al., Error Models and Propagation in Directly Georeferenced Terrestrial Laser Scanner Networks, http://ascelibrary.org/doi/10.1061/%28ASCE%290733-9453%282005%29131%3A4%28135%29, See blooming. Excess charges flowing into neighboring photodiodes or pixels; creating unintentionally measured power impulses and thus; creating false positive detections.] [1, Espineira et al., Realistic LiDAR With Noise Model for Real-Time Testing of Automated Vehicles in a Virtual Environment, https://ieeexplore.ieee.org/document/9354172/] [1, Shin et al., Illusion and Dazzle: Adversarial Optical Channel Exploits Against Lidars for Automotive Applications, http://link.springer.com/10.1007/978-3-319-66787-4_22, Raised noise floor due to saturation/blending security attack might reach detection threshold. See p.457]",
"references": "[39, Jiang et al., Adaptive Suppression Method of LiDAR Background Noise Based on Threshold Detection, https://www.mdpi.com/2076-3417/13/6/3772, Adaptive adjustment of the signal detection threshold in order to maintain the TNR (Threshold Noise Ratio).] [39, Liu et al., A dual-rate multi-filter algorithm for LiDAR-aided indoor navigation systems, http://ieeexplore.ieee.org/document/6851467/] [39, Maksymova et al., Review of LiDAR Sensor Data Acquisition and Compression for Automotive Applications, http://www.mdpi.com/2504-3900/2/13/852, See signal to noise ratio (SNR)] [1, Lichti et al., Error Models and Propagation in Directly Georeferenced Terrestrial Laser Scanner Networks, http://ascelibrary.org/doi/10.1061/%28ASCE%290733-9453%282005%29131%3A4%28135%29, See blooming. Excess charges flowing into neighboring photodiodes or pixels; creating unintentionally measured power impulses and thus; creating false positive detections.] [1, Espineira et al., Realistic LiDAR With Noise Model for Real-Time Testing of Automated Vehicles in a Virtual Environment, https://ieeexplore.ieee.org/document/9354172/] [1, Shin et al., Illusion and Dazzle: Adversarial Optical Channel Exploits Against Lidars for Automotive Applications, http://link.springer.com/10.1007/978-3-319-66787-4_22, Raised noise floor due to saturation/blending security attack might reach detection threshold. See p.457]",
"nodeType": "effect"
},
{
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},
{
"id": "54",
"parentIds": ["39", "0"],
"parentIds": ["39", "144"],
"title": "Low received power from object",
"decomBlock": "Reception",
"description": "Laser beams which are reflected by object of interest contain low radiation power when hitting reception unit.",
"references": "[39, Zhou et al., Improvement of the signal to noise ratio of Lidar echo signal based on wavelet de-noising technique, https://linkinghub.elsevier.com/retrieve/pii/S0143816613000742] [39, Espineira et al., Realistic LiDAR With Noise Model for Real-Time Testing of Automated Vehicles in a Virtual Environment, https://ieeexplore.ieee.org/document/9354172/] [0, Kokhanenko et al., Expanding the dynamic range of a lidar receiver by the method of dynode-signal collection, https://www.osapublishing.org/abstract.cfm?URI=ao-41-24-5073] [0, Jiang et al., Invited Article: Optical dynamic range compression, http://aip.scitation.org/doi/10.1063/1.5051566]",
"references": "[39, Jiang et al., Adaptive Suppression Method of LiDAR Background Noise Based on Threshold Detection, https://www.mdpi.com/2076-3417/13/6/3772, Adaptive adjustment of the signal detection threshold in order to maintain the TNR (Threshold Noise Ratio).] [39, Zhou et al., Improvement of the signal to noise ratio of Lidar echo signal based on wavelet de-noising technique, https://linkinghub.elsevier.com/retrieve/pii/S0143816613000742] [39, Espineira et al., Realistic LiDAR With Noise Model for Real-Time Testing of Automated Vehicles in a Virtual Environment, https://ieeexplore.ieee.org/document/9354172/] [144, Jiang et al., Invited Article: Optical dynamic range compression, http://aip.scitation.org/doi/10.1063/1.5051566] [144, Kokhanenko et al., Expanding the dynamic range of a lidar receiver by the method of dynode-signal collection, https://www.osapublishing.org/abstract.cfm?URI=ao-41-24-5073]",
"nodeType": "effect"
},
{
Expand Down Expand Up @@ -271,11 +271,11 @@
},
{
"id": "71",
"parentIds": ["0"],
"parentIds": ["144"],
"title": "Low ADC dynamic range",
"decomBlock": "Reception",
"description": "ADC dynamic range being the ratio between maximum and minimum convertable voltage into discrete values, determined the number of bits.",
"references": "[0, Kokhanenko et al., Expanding the dynamic range of a lidar receiver by the method of dynode-signal collection, https://www.osapublishing.org/abstract.cfm?URI=ao-41-24-5073] [0, Jiang et al., Invited Article: Optical dynamic range compression, http://aip.scitation.org/doi/10.1063/1.5051566]",
"references": "[144, Jiang et al., Invited Article: Optical dynamic range compression, http://aip.scitation.org/doi/10.1063/1.5051566] [144, Kokhanenko et al., Expanding the dynamic range of a lidar receiver by the method of dynode-signal collection, https://www.osapublishing.org/abstract.cfm?URI=ao-41-24-5073]",
"nodeType": "effect"
},
{
Expand Down Expand Up @@ -835,5 +835,14 @@
"description": "Moonlight, starlight and artificial light being the nighttime dominant light sources.",
"references": "[99, Wandinger, Introduction to Lidar, https://link.springer.com/chapter/10.1007/0-387-25101-4_1, p.11.] [69, Wandinger, Introduction to Lidar, https://link.springer.com/chapter/10.1007/0-387-25101-4_1, p.11.]",
"nodeType": "systemIndependent"
},
{
"id": "144",
"parentIds": ["0"],
"title": "Received power below minimum quantizable power",
"decomBlock": "Pre-processing",
"description": "Returned power being too small to be perceived, since it is too small to be covered by quantization of ADC.",
"references": "[0, Jiang et al., Invited Article: Optical dynamic range compression, http://aip.scitation.org/doi/10.1063/1.5051566] [0, Kokhanenko et al., Expanding the dynamic range of a lidar receiver by the method of dynode-signal collection, https://www.osapublishing.org/abstract.cfm?URI=ao-41-24-5073]",
"nodeType": "effect"
}
]

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