Difference between revisions of "Stereo Vision Systems"
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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 | ||
Line 32: | Line 32: | ||
|- | |- | ||
!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 54: | Line 56: | ||
|- | |- | ||
!style='text-align:left;'| Depth Processing | !style='text-align:left;'| Depth Processing | ||
− | | Post-processing | + | | Post-processing (real-time - future development) |
| Post-processing or real-time (mostly) | | Post-processing or real-time (mostly) | ||
|- | |- | ||
Line 66: | 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 | !style='text-align:left;'| Output interfaces | ||
Line 85: | Line 93: | ||
* Compatible with Analog Devices IMUs: up to 2460Hz | * Compatible with Analog Devices IMUs: up to 2460Hz | ||
|valign='top'| some have IMU (100-500Hz), but most don't | |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 12:26, 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)