PAL-Commander
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Transcript PAL-Commander
PAL COMMANDER
Mobile Robot Navigation Using Omnidirectional Vision
Mornailla László
Pekár Tamás
Solymosi Csaba
Vámossy Zoltán
RAAD
2006. June 15-17.
Budapest Tech,
John von Neumann Faculty of Informatics
Goals
Mobile robot
Multiple navigation
types
Homogeneous,
weakly-textured
environment
Obstacle avoidance
Line following
Object following
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PAL-Commander
László Mornailla,Tamás Pekár, Csaba
Solymosi, Zoltán Vámossy
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The Construction
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László Mornailla,Tamás Pekár, Csaba
Solymosi, Zoltán Vámossy
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RC controlling
Opto coupler (CNY 744)
6 movement direction
Parallel port
Possible controlling
commands:
0: stop
1: forward
2: backward
4: wheels right
6: right backward
7: right forward
8: wheels left
9: left forward
10: left backward
No precision controlling
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Solymosi, Zoltán Vámossy
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Modell RC controlling I.
Variable communication
frequency
Precision controlling
Serial port
Direction
#0 - #17: left
#18 - #19: center
#20 - #40: right
Speed
#0 - #21: backwards
#22: stop
#23 - #40: forwards
PIC microcontroller (18F1320)
2 level interrupt
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László Mornailla,Tamás Pekár, Csaba
Solymosi, Zoltán Vámossy
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Modell RC controlling II.
Generated controlling impulses (PIC)
1. impulse: 15ms periodical time
2. impulse: setting the direction
3. impulse: setting the direction
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The circuitry of the extra electronics
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László Mornailla,Tamás Pekár, Csaba
Solymosi, Zoltán Vámossy
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Mobile robots
RC
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Modell RC
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The PAL-optics
Advantages
No need of moving components
No need of focusing
Direction, and angle of
surrounding object can be
directly computed
Projects the 360º degrees of the
environment to 2D
Circular image
Can be described by a polar
coordinate-system
Blind spot
Properties:
PAL center
Inner radius (r1)
Outer radius (r2)
Angle of field of view
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PAL-Commander
László Mornailla,Tamás Pekár, Csaba
Solymosi, Zoltán Vámossy
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Controlling Software
Input
Preprocessing
Decision maker
Mapper
Navigation
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PAL-Commander
László Mornailla,Tamás Pekár, Csaba
Solymosi, Zoltán Vámossy
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Controlling Software
Preprocessing I.
(1)
(2)
(3)
(4)
Preprocessing
RGB
HSL
Treshold
Edge detection
Canny
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László Mornailla,Tamás Pekár, Csaba
Solymosi, Zoltán Vámossy
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Controlling Software
Preprocessing II.
(1)
1, raw image
2, HSL filtered
3, (2) + binatization
4, HSL + pixelate
5, (4) + threshold
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(2)
(3)
(4)
(5)
PAL-Commander
László Mornailla,Tamás Pekár, Csaba
Solymosi, Zoltán Vámossy
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Controlling Software
Decision Maker
One complex
algorithm
Line
Distance
following
Object following
“Free fall” navigation
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Parameters
Scanning
degree
Threshold minimum
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László Mornailla,Tamás Pekár, Csaba
Solymosi, Zoltán Vámossy
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Controlling Software
Mapper module
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Controlling Software
User interface
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Solymosi, Zoltán Vámossy
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Results
RC test video
Line following
Nearly
homogeneous
ground
White line
Difficulties
White
line,
white wall
Reflection of
the ground
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Solymosi, Zoltán Vámossy
Relatively fast
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Results
Modell RC testvideo
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Solymosi, Zoltán Vámossy
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Conclusion
Easily reproducible
components
Low-cost
Simple reconstruction
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Improvements
Mapping
PAL-Commander
László Mornailla,Tamás Pekár, Csaba
Solymosi, Zoltán Vámossy
module
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References
Omnidirectional Vision page:
http://www.cis.upenn.edu/~kostas/omni.html
Veress, M. and Greguss, P. (1998), Centric Minded Imaging in
Space Research, In: Proc. of 7th International Workshop on
RAAD'98, (K. Dobrovodsky (Ed.)), pp. 121 - 126. Bratislava,
Slovakia.
Kónya László - Mikrovezérlők alkalmazástechnikája,
ChipCAD Elektronikai Disztribúció Kft., 2000,2003
SharperCV by Peter Wentworth
http://www.cs.ru.ac.za/research/groups/SharperCV
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Thank you for your attention!
We would be glad to hear about any
interest in the project.
Contact
[email protected]
Web site:
http://palcom.bmfnik.hu
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Solymosi, Zoltán Vámossy
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Questions?
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Solymosi, Zoltán Vámossy
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