Stereo Vision Systems: Difference between revisions
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==Comparison table== | ==Comparison table with similar products== | ||
{| class='wikitable' | {| class='wikitable' | ||
<!--!style='text-align:left;'|Company | <!--!style='text-align:left;'|Company | ||
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|- | |- | ||
--> | --> | ||
!style='text-align:left;'|3D Vision System | !style='text-align:left;'| 3D Vision System | ||
| Elphel MNC393-XCAM | | Elphel MNC393-XCAM | ||
| Reviewed competing products | | Reviewed competing products | ||
| Line 25: | Line 25: | ||
| 2015-2018 | | 2015-2018 | ||
|- | |- | ||
!style='text-align:left;'|Depth sensing technology | !style='text-align:left;'| Depth sensing technology | ||
| | | | ||
| | | | ||
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|- | |- | ||
!style='text-align:left;'| Depth range, m | !style='text-align:left;'| Depth range, m | ||
| <font color='red' size='4'>'''10- | | <font color='red' size='4'>'''10-5000m'''</font> | ||
| <font color='red' size='4'>'''0. | | <font color='red' size='4'>'''0.1-20m'''</font> | ||
|- | |- | ||
!style='text-align:left;' valign='top'| Depth accuracy | !style='text-align:left;' valign='top'| Depth accuracy | ||
|valign='top'| | |valign='top'| | ||
Disparity accuracy is 0.05px: | |||
* 1% at 100m | * 1% at 100m | ||
* 5% at 500m | * 5% at 500m | ||
| Line 43: | Line 44: | ||
| | | | ||
* Some do not have information | * Some do not have information | ||
* The assumption is nobody can get below 0.5px disparity | |||
* Passive systems (no IR), best: | * Passive systems (no IR), best: | ||
** 1.5% at 10m | ** 1.5% at 10m | ||
| Line 52: | Line 54: | ||
** 1% at 1m | ** 1% at 1m | ||
** 9% at 10m | ** 9% at 10m | ||
|- | |||
!style='text-align:left;'| Depth Processing | |||
| Post-processing (real-time - future development) | |||
| Post-processing or real-time (mostly) | |||
|- | |- | ||
!style='text-align:left;'| Number of image sensors | !style='text-align:left;'| Number of image sensors | ||
| Line 62: | Line 68: | ||
|- | |- | ||
!style='text-align:left;'| IR projectors | !style='text-align:left;'| IR projectors | ||
| | | not used | ||
| some have, some don't | | some have, some don't | ||
|- | |||
!style='text-align:left;'| Framerate | |||
| up to 10fps recording in high quality | |||
| | |||
* ZED Mini: varies from 15fps @4k to 100fps @1344x376 | |||
* Others are somewhat similar | |||
|- | |||
!style='text-align:left;'| Output interfaces | |||
| | |||
* 1 GigE | |||
* USB2 | |||
* eSATA (external storage) | |||
* internal storage (m.2 SSD) | |||
* Possible to precisely sync multiple systems | |||
|valign='top'| | |||
* some have 1 GigE | |||
* most - USB3 | |||
|- | |||
!style='text-align:left;'| Position and orientation | |||
| | |||
* GPS | |||
* Compatible with Analog Devices IMUs: up to 2460Hz | |||
|valign='top'| some have IMU (100-500Hz), but most don't | |||
|- | |||
!style='text-align:left;'| Image sensor shutter type | |||
| ERS (Electronic Rolling Shutter) | |||
| ERS or Global | |||
|- | |||
!style='text-align:left;'| Output format | |||
| | |||
3D model: | |||
* OBJ with textures | |||
* X3D with textures | |||
| | |||
* RGBD | |||
* Unknown | |||
* Z-map | |||
|- | |||
!style='text-align:left;'| Color | |||
| Color | |||
| | |||
* Color (most) | |||
* Mono | |||
* 2 Mono + 1 Color | |||
|- | |||
!style='text-align:left;'| Full Hardware setup | |||
| | |||
* Some laptop when recording (network GUI - only browser, no extra drivers) | |||
* Good PC (+NVidia GPU) when processing | |||
| | |||
* Some require PC with extra drivers or other software | |||
* Some require PC with extra drivers or other software + good NVidia GPU (like ZED) | |||
|- | |||
|} | |||
==Advantages over LIDARs== | |||
{| class='wikitable' | |||
!style='text-align:left;'| Product | |||
|align='center'| Elphel MNC393-XCAM | |||
|align='center'| Reviewed LIDARs (Velodyne, Ouster) | |||
|- | |||
!style='text-align:left;'| Range | |||
|align='center'| <font color='red' size='4'>'''10-5000m'''</font> | |||
|align='center'| <font color='red' size='4'>'''<200m'''</font> | |||
|- | |||
!style='text-align:left;'| Field of View | |||
|align='center'| <font color='red' size='4'>'''65°x51°'''</font> | |||
|align='center'| <font color='red' size='4'>'''360°x(30-40°)'''</font> | |||
|- | |||
!style='text-align:left;' colspan='3'| Points sparsity (horizontal x vertical): | |||
|- | |||
!style='text-align:left;'| @10m | |||
|align='center'| ~ 0.05x0.05 cm | |||
|align='center'| ~ 2x6 cm | |||
|- | |||
!style='text-align:left;'| @50m | |||
|align='center'| ~ 0.25x0.25 cm | |||
|align='center'| ~ 10x30 cm | |||
|- | |||
!style='text-align:left;'| @100m | |||
|align='center'| ~ 0.5x0.5 cm | |||
|align='center'| ~ 20x60 cm | |||
|- | |||
!style='text-align:left;'| @200m | |||
|align='center'| ~ 1x1 cm | |||
|align='center'| ~ 40x120 cm | |||
|- | |||
!style='text-align:left;'| @1000m | |||
|align='center'| ~ 5x5 cm | |||
|align='center'| | |||
|- | |||
!style='text-align:left;'| @2000m | |||
|align='center'| ~ 10x10 cm | |||
|align='center'| | |||
|- | |- | ||
|} | |} | ||
Typical LIDAR angular resolutions are: | |||
* horizontal: 0.1-0.4° | |||
* vertical: 0.3-0.5° | |||
==Links== | ==Links== | ||
Latest revision as of 20:26, 5 October 2018
Comparison table with similar products
| 3D Vision System | Elphel MNC393-XCAM | Reviewed competing products |
|---|---|---|
| Released | 2018 | 2015-2018 |
| Depth sensing technology |
| |
| Depth range, m | 10-5000m | 0.1-20m |
| Depth accuracy |
Disparity accuracy is 0.05px:
|
|
| Depth Processing | Post-processing (real-time - future development) | Post-processing or real-time (mostly) |
| Number of image sensors | 4 (square) | 1-2 |
| Stereo baseline, mm | 250 (diagonal) | from single lens to 63-250 |
| IR projectors | not used | some have, some don't |
| Framerate | up to 10fps recording in high quality |
|
| Output interfaces |
|
|
| Position and orientation |
|
some have IMU (100-500Hz), but most don't |
| Image sensor shutter type | ERS (Electronic Rolling Shutter) | ERS or Global |
| Output format |
3D model:
|
|
| Color | Color |
|
| Full Hardware setup |
|
|
Advantages over LIDARs
| Product | Elphel MNC393-XCAM | Reviewed LIDARs (Velodyne, Ouster) |
|---|---|---|
| Range | 10-5000m | <200m |
| Field of View | 65°x51° | 360°x(30-40°) |
| Points sparsity (horizontal x vertical): | ||
| @10m | ~ 0.05x0.05 cm | ~ 2x6 cm |
| @50m | ~ 0.25x0.25 cm | ~ 10x30 cm |
| @100m | ~ 0.5x0.5 cm | ~ 20x60 cm |
| @200m | ~ 1x1 cm | ~ 40x120 cm |
| @1000m | ~ 5x5 cm | |
| @2000m | ~ 10x10 cm | |
Typical LIDAR angular resolutions are:
- horizontal: 0.1-0.4°
- vertical: 0.3-0.5°
Links
- StereoVisionCameras_v2.ods (internal use only) (1st tab - cameras, 2nd tab - LIDARs)
- More on cameras (xinreality.com)
- More on LIDARs (dronezon.com)
- Time-of-Flight sensors (2014 TI article)