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connector plug was made out of more reflective plas-
tic, resulting in a few cases when reflections caused
the accuracy issues regarding the rotation. However,
these issues were observed very rarely under specific
viewing angles, and matching accuracy dropped below
90%, so these cases could be easily identified.
Fig. 7. Results of the template matching. A high variety of
angles and lighting conditions were tested. Viewing angles up to
45â—¦ resulted in successful detection with accuracy dropping beyond
that. Row 1: Type 2 connector plug. Row 2: Type 1 socket. Row
3: Type 2 socket.
C. Eye-to-HandCalibration
In the given configuration, the structure of the
connector plug was used as a marker for eye-to-
hand calibration. During the calibration process it
was turned to face the vision sensor, while during
the normal operation it faces away from the camera.
Furthermore, the outer ring of the plug is angled, so
the pins of the plug had to be used as reference points
to get the accurate calibration.
The end point of the connector plug was rotated
around each of the axis as well as moved to different
locations within the field-of-view of the vision sensor.
In total, 26 poses were recorded and used until the
calibration converged. Additionally, 3 instances were
discarded because of the incorrect template matching
result. The average translation error within the work-
ing space was reduced to 1.5mm, which was sufficient
for our application at this stage. Possibly, having
more poses would reduce the positional error even
further. With the eye-to-hand calibration completed,
coordinate frames for the camera position and the end
point of the connector plug can be added to the model,
as shown in Figure 8.
D. FindingChargingPortPoseandRobotMovements
As the final evaluation, we used the whole process
pipeline and analysed whether the plug-in motion was
successful or not.
There were 10 runs executed in total using Type 2
connectors. For the first 5 runs the charging port was Fig. 8. Eye-to-hand calibration results. Visualisation of the
assigned coordinate frames to the vision sensor, the end-effector
of the robot and the end point of the connector plug. Resulting
point cloud is overlayed onto the visualisation of the robot model.
angled at 10â—¦ in relation to the vision sensor, and for
the remaining 5 runs, the angle was increased to 30â—¦.
The robot successfully connected the plug 8 out
of 10 times. Both failures occurred by missing the
rotation of the plug, which were determined by the
misalignment of the guidance slot on the charging
port. However, the safety stop automatically initialised
in both of the cases ensuring that the robot stopped
before causing any damage.
TABLE I
SUMMARY OF THE PLUG-IN MOTION EXPERIMENTS WITH
CHARGING PORT PLACED AT TWO DIFFERENT ANGLES
Exp ChargingPortAngle10â—¦ ChargingPortAngle30â—¦
1 Success Success: Misalignment
2 Success: Misalignment Failed:Missed rotation
3 Success Success
4 Failed:Missed rotation Success: Misalignment
5 Success: Misalignment Success: Misalignment
However, even when the plug was successfully in-
serted in the charging port, there were some alignment
issues. In 5 out of 8 successful runs, the plug was not
fully inserted into the charging port. It was caused by
a small angular offset varying between 2â—¦ and 5â—¦. The
contact was still made, so the charging process would
be successful, however, there was additional strain due
to imperfect alignment. The misalignment occurred
more frequently during the experiments, where the
charging port was placed at 30â—¦ angle. The results
are summarised in Table I.
As expected, the unplugging process was successful
during all the runs. It simply follows already executed
trajectory in the inverse order, meaning that as long
as the position of the charging port did not change
during the time it was plugged in, there should be no
issues with the unplugging process.
IV. CONCLUSIONS AND FUTURE WORK
We have presented a vision-guided and robot-based
automatic EV and PHEV charging station. The goal is
toallowautomatedconductive fast chargingofelectric
and hybrid vehicles and avoid the issue of a charged
car taking up the space when it is not necessary.
72
Proceedings of the OAGM&ARW Joint Workshop
Vision, Automation and Robotics
- Title
- Proceedings of the OAGM&ARW Joint Workshop
- Subtitle
- Vision, Automation and Robotics
- Authors
- Peter M. Roth
- Markus Vincze
- Wilfried Kubinger
- Andreas Müller
- Bernhard Blaschitz
- Svorad Stolc
- Publisher
- Verlag der Technischen Universität Graz
- Location
- Wien
- Date
- 2017
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-85125-524-9
- Size
- 21.0 x 29.7 cm
- Pages
- 188
- Keywords
- Tagungsband
- Categories
- International
- Tagungsbände