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Merging of Depth Image Between Stereo Camera and Structure Sensor on Robot “FloW” Vision

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BibTeX

@article{IJASEIT2176,
   author = {Dadet Pramadihanto and Ardiansyah Alfarouq and Suryo Aji Waskitho and Sritrusta Sukaridhoto},
   title = {Merging of Depth Image Between Stereo Camera and Structure Sensor on Robot “FloW” Vision},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {3},
   year = {2017},
   pages = {1014--1025},
   keywords = {humanoid robot; robot vision; RGB-D sensor; depth calibration; computer vision.},
   abstract = {

Human can recognize an object just by looking at the environment, this capability is very useful for designing the reference of humanoid robot with the ability of adapting it on its environment. By knowing the field conditions that exist in such environments, robot can understand the obstacles or anything that can be passed. To do that, robot vision needs to have a knowledge to understanding an obstacles that exist around it. Because of these problems, this paper shows a method for reducing error rate of vacant space in the data depth by combining a stereo camera and structure sensor. Merging the stereo camera and structure sensor can extract depth information becomes dense. The proposed method has been successfully running the whole algorithm built and has a density of depth with an average error rate of vacant space is 18.10%.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2176},    doi = {10.18517/ijaseit.7.3.2176} }

EndNote

%A Pramadihanto, Dadet
%A Alfarouq, Ardiansyah
%A Waskitho, Suryo Aji
%A Sukaridhoto, Sritrusta
%D 2017
%T Merging of Depth Image Between Stereo Camera and Structure Sensor on Robot “FloW” Vision
%B 2017
%9 humanoid robot; robot vision; RGB-D sensor; depth calibration; computer vision.
%! Merging of Depth Image Between Stereo Camera and Structure Sensor on Robot “FloW” Vision
%K humanoid robot; robot vision; RGB-D sensor; depth calibration; computer vision.
%X 

Human can recognize an object just by looking at the environment, this capability is very useful for designing the reference of humanoid robot with the ability of adapting it on its environment. By knowing the field conditions that exist in such environments, robot can understand the obstacles or anything that can be passed. To do that, robot vision needs to have a knowledge to understanding an obstacles that exist around it. Because of these problems, this paper shows a method for reducing error rate of vacant space in the data depth by combining a stereo camera and structure sensor. Merging the stereo camera and structure sensor can extract depth information becomes dense. The proposed method has been successfully running the whole algorithm built and has a density of depth with an average error rate of vacant space is 18.10%.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2176 %R doi:10.18517/ijaseit.7.3.2176 %J International Journal on Advanced Science, Engineering and Information Technology %V 7 %N 3 %@ 2088-5334

IEEE

Dadet Pramadihanto,Ardiansyah Alfarouq,Suryo Aji Waskitho and Sritrusta Sukaridhoto,"Merging of Depth Image Between Stereo Camera and Structure Sensor on Robot “FloW” Vision," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 3, pp. 1014-1025, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.3.2176.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Pramadihanto, Dadet
AU  - Alfarouq, Ardiansyah
AU  - Waskitho, Suryo Aji
AU  - Sukaridhoto, Sritrusta
PY  - 2017
TI  - Merging of Depth Image Between Stereo Camera and Structure Sensor on Robot “FloW” Vision
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 3
Y2  - 2017
SP  - 1014
EP  - 1025
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - humanoid robot; robot vision; RGB-D sensor; depth calibration; computer vision.
N2  - 

Human can recognize an object just by looking at the environment, this capability is very useful for designing the reference of humanoid robot with the ability of adapting it on its environment. By knowing the field conditions that exist in such environments, robot can understand the obstacles or anything that can be passed. To do that, robot vision needs to have a knowledge to understanding an obstacles that exist around it. Because of these problems, this paper shows a method for reducing error rate of vacant space in the data depth by combining a stereo camera and structure sensor. Merging the stereo camera and structure sensor can extract depth information becomes dense. The proposed method has been successfully running the whole algorithm built and has a density of depth with an average error rate of vacant space is 18.10%.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2176 DO - 10.18517/ijaseit.7.3.2176

RefWorks

RT Journal Article
ID 2176
A1 Pramadihanto, Dadet
A1 Alfarouq, Ardiansyah
A1 Waskitho, Suryo Aji
A1 Sukaridhoto, Sritrusta
T1 Merging of Depth Image Between Stereo Camera and Structure Sensor on Robot “FloW” Vision
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 3
YR 2017
SP 1014
OP 1025
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 humanoid robot; robot vision; RGB-D sensor; depth calibration; computer vision.
AB 

Human can recognize an object just by looking at the environment, this capability is very useful for designing the reference of humanoid robot with the ability of adapting it on its environment. By knowing the field conditions that exist in such environments, robot can understand the obstacles or anything that can be passed. To do that, robot vision needs to have a knowledge to understanding an obstacles that exist around it. Because of these problems, this paper shows a method for reducing error rate of vacant space in the data depth by combining a stereo camera and structure sensor. Merging the stereo camera and structure sensor can extract depth information becomes dense. The proposed method has been successfully running the whole algorithm built and has a density of depth with an average error rate of vacant space is 18.10%.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=2176 DO - 10.18517/ijaseit.7.3.2176