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Design and Implementation of an Autonomous Vehicle to Collect Tennis Balls Using Artificial Vision

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@article{IJASEIT13666,
   author = {Caren Guerrero and José Luis Tinajero and David Moreno and Edgar Salazar},
   title = {Design and Implementation of an Autonomous Vehicle to Collect Tennis Balls Using Artificial Vision},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {4},
   year = {2021},
   pages = {1346--1351},
   keywords = {Digital image processing; mobile robot; color segmentation; Kinect camera; wireless communication system.},
   abstract = {The objective of this work was to design and implement an autonomous vehicle (robot) to collect tennis balls using different digital image processing techniques. The robot was built from an Arduino Nano microcontroller.  A radio frequency antenna NRF24L01 receives the data from the control stage and the locomotion system integrated by motors and an odometry system composed of MPU6050 gyroscope encoders; additionally, the system has an emitter module that consists of an Arduino Uno and an antenna with the same characteristics. The prototype consists of two separate subsystems, one for collecting and processing information and the other specific for the vehicle on the ground. It is equipped with a Kinect camera that captures information from a defined area for image processing through a visual control algorithm that detects the balls by color and shape segmentation, determining their location in rectangular coordinates and sending them to the robot through a data transmission system. The Ackerman configuration mobile robot equipped with the wireless communication system receives the coordinates to carry out the movements that are controlled by sensors located on the wheels, with a maximum capacity of 4 balls. The complete running of the system obtained an accuracy of 96.9% in the collection of balls; it should be noted that the tests were carried out with several distractors whose objective was to confuse the system; these tests were carried out at various times the day in a real scenario.},
   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=13666},
   doi = {10.18517/ijaseit.11.4.13666}
}

EndNote

%A Guerrero, Caren
%A Tinajero, José Luis
%A Moreno, David
%A Salazar, Edgar
%D 2021
%T Design and Implementation of an Autonomous Vehicle to Collect Tennis Balls Using Artificial Vision
%B 2021
%9 Digital image processing; mobile robot; color segmentation; Kinect camera; wireless communication system.
%! Design and Implementation of an Autonomous Vehicle to Collect Tennis Balls Using Artificial Vision
%K Digital image processing; mobile robot; color segmentation; Kinect camera; wireless communication system.
%X The objective of this work was to design and implement an autonomous vehicle (robot) to collect tennis balls using different digital image processing techniques. The robot was built from an Arduino Nano microcontroller.  A radio frequency antenna NRF24L01 receives the data from the control stage and the locomotion system integrated by motors and an odometry system composed of MPU6050 gyroscope encoders; additionally, the system has an emitter module that consists of an Arduino Uno and an antenna with the same characteristics. The prototype consists of two separate subsystems, one for collecting and processing information and the other specific for the vehicle on the ground. It is equipped with a Kinect camera that captures information from a defined area for image processing through a visual control algorithm that detects the balls by color and shape segmentation, determining their location in rectangular coordinates and sending them to the robot through a data transmission system. The Ackerman configuration mobile robot equipped with the wireless communication system receives the coordinates to carry out the movements that are controlled by sensors located on the wheels, with a maximum capacity of 4 balls. The complete running of the system obtained an accuracy of 96.9% in the collection of balls; it should be noted that the tests were carried out with several distractors whose objective was to confuse the system; these tests were carried out at various times the day in a real scenario.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13666
%R doi:10.18517/ijaseit.11.4.13666
%J International Journal on Advanced Science, Engineering and Information Technology
%V 11
%N 4
%@ 2088-5334

IEEE

Caren Guerrero,José Luis Tinajero,David Moreno and Edgar Salazar,"Design and Implementation of an Autonomous Vehicle to Collect Tennis Balls Using Artificial Vision," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 4, pp. 1346-1351, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.4.13666.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Guerrero, Caren
AU  - Tinajero, José Luis
AU  - Moreno, David
AU  - Salazar, Edgar
PY  - 2021
TI  - Design and Implementation of an Autonomous Vehicle to Collect Tennis Balls Using Artificial Vision
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 4
Y2  - 2021
SP  - 1346
EP  - 1351
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Digital image processing; mobile robot; color segmentation; Kinect camera; wireless communication system.
N2  - The objective of this work was to design and implement an autonomous vehicle (robot) to collect tennis balls using different digital image processing techniques. The robot was built from an Arduino Nano microcontroller.  A radio frequency antenna NRF24L01 receives the data from the control stage and the locomotion system integrated by motors and an odometry system composed of MPU6050 gyroscope encoders; additionally, the system has an emitter module that consists of an Arduino Uno and an antenna with the same characteristics. The prototype consists of two separate subsystems, one for collecting and processing information and the other specific for the vehicle on the ground. It is equipped with a Kinect camera that captures information from a defined area for image processing through a visual control algorithm that detects the balls by color and shape segmentation, determining their location in rectangular coordinates and sending them to the robot through a data transmission system. The Ackerman configuration mobile robot equipped with the wireless communication system receives the coordinates to carry out the movements that are controlled by sensors located on the wheels, with a maximum capacity of 4 balls. The complete running of the system obtained an accuracy of 96.9% in the collection of balls; it should be noted that the tests were carried out with several distractors whose objective was to confuse the system; these tests were carried out at various times the day in a real scenario.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13666
DO  - 10.18517/ijaseit.11.4.13666

RefWorks

RT Journal Article
ID 13666
A1 Guerrero, Caren
A1 Tinajero, José Luis
A1 Moreno, David
A1 Salazar, Edgar
T1 Design and Implementation of an Autonomous Vehicle to Collect Tennis Balls Using Artificial Vision
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 4
YR 2021
SP 1346
OP 1351
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Digital image processing; mobile robot; color segmentation; Kinect camera; wireless communication system.
AB The objective of this work was to design and implement an autonomous vehicle (robot) to collect tennis balls using different digital image processing techniques. The robot was built from an Arduino Nano microcontroller.  A radio frequency antenna NRF24L01 receives the data from the control stage and the locomotion system integrated by motors and an odometry system composed of MPU6050 gyroscope encoders; additionally, the system has an emitter module that consists of an Arduino Uno and an antenna with the same characteristics. The prototype consists of two separate subsystems, one for collecting and processing information and the other specific for the vehicle on the ground. It is equipped with a Kinect camera that captures information from a defined area for image processing through a visual control algorithm that detects the balls by color and shape segmentation, determining their location in rectangular coordinates and sending them to the robot through a data transmission system. The Ackerman configuration mobile robot equipped with the wireless communication system receives the coordinates to carry out the movements that are controlled by sensors located on the wheels, with a maximum capacity of 4 balls. The complete running of the system obtained an accuracy of 96.9% in the collection of balls; it should be noted that the tests were carried out with several distractors whose objective was to confuse the system; these tests were carried out at various times the day in a real scenario.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13666
DO  - 10.18517/ijaseit.11.4.13666