Automatic Quadcopter Control Avoiding Obstacle Using Camera with Integrated Ultrasonic Sensor

Automatic navigation on the drone is being developed these days, a wide variety of types of drones and its automatic functions. Drones used in this study was an aircraft with four propellers or quadcopter. In this experiment, image processing used to recognize the position of an object and ultrasoni...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2018-04, Vol.1011 (1), p.12046
Main Authors: Anis, Hanafi, Fadhillah, Ahmad Haris Indra, Darma, Surya, Soekirno, Santoso
Format: Article
Language:English
Subjects:
Automatic control
Cameras
Decisions
Drone aircraft
Drones
Feedback control
Image processing
Obstacle avoidance
Physics
Position sensing
Propellers
Proportional integral derivative
Sensors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c413t-8eedeb3408dc8c8014bda34dc363f19229341404dc9c5bf712ef4834995bdde63
cites cdi_FETCH-LOGICAL-c413t-8eedeb3408dc8c8014bda34dc363f19229341404dc9c5bf712ef4834995bdde63
container_end_page
container_issue 1
container_start_page 12046
container_title Journal of physics. Conference series
container_volume 1011
creator Anis, Hanafi
Fadhillah, Ahmad Haris Indra
Darma, Surya
Soekirno, Santoso
description Automatic navigation on the drone is being developed these days, a wide variety of types of drones and its automatic functions. Drones used in this study was an aircraft with four propellers or quadcopter. In this experiment, image processing used to recognize the position of an object and ultrasonic sensor used to detect obstacle distance. The method used to trace an obsctacle in image processing was the Lucas-Kanade-Tomasi Tracker, which had been widely used due to its high accuracy. Ultrasonic sensor used to complement the image processing success rate to be fully detected object. The obstacle avoidance system was to observe at the program decisions from some obstacle conditions read by the camera and ultrasonic sensors. Visual feedback control based PID controllers are used as a control of drones movement. The conclusion of the obstacle avoidance system was to observe at the program decisions from some obstacle conditions read by the camera and ultrasonic sensors.
doi_str_mv 10.1088/1742-6596/1011/1/012046
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2572236438</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2572236438</sourcerecordid><originalsourceid>FETCH-LOGICAL-c413t-8eedeb3408dc8c8014bda34dc363f19229341404dc9c5bf712ef4834995bdde63</originalsourceid><addsrcrecordid>eNqFkF1LwzAUhoMoOKe_wYB3wmy-2qaXo_gxGUyZu5SQJuns6JqapIr_3paKIgjmJjknz3kPPACcY3SFEecRThmZJXGWRBhhHOEIYYJYcgAm3z-H32_Oj8GJ9zuEaH_SCXied8HuZagUfOykVrYNxsHcNsHZGs7fbKWrZgtXhQ9S1QZu_FDmcm-chO9VeIGLJpitk8FouKmDk942fdjaNN66U3BUytqbs697CjY310_53Wy5ul3k8-VMMUzDjBujTUEZ4lpxxRFmhZaUaUUTWuKMkIwyzFDfyFRclCkmpmScsiyLC61NQqfgYsxtnX3tjA9iZzvX9CsFiVNCaMIo76l0pJSz3jtTitZVe-k-BEZicCkGS2IwJgaXAovRZT95OU5Wtv2Jvn_I179B0eqyh-kf8H8rPgE3UYQ4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2572236438</pqid></control><display><type>article</type><title>Automatic Quadcopter Control Avoiding Obstacle Using Camera with Integrated Ultrasonic Sensor</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>Full-Text Journals in Chemistry (Open access)</source><creator>Anis, Hanafi ; Fadhillah, Ahmad Haris Indra ; Darma, Surya ; Soekirno, Santoso</creator><creatorcontrib>Anis, Hanafi ; Fadhillah, Ahmad Haris Indra ; Darma, Surya ; Soekirno, Santoso</creatorcontrib><description>Automatic navigation on the drone is being developed these days, a wide variety of types of drones and its automatic functions. Drones used in this study was an aircraft with four propellers or quadcopter. In this experiment, image processing used to recognize the position of an object and ultrasonic sensor used to detect obstacle distance. The method used to trace an obsctacle in image processing was the Lucas-Kanade-Tomasi Tracker, which had been widely used due to its high accuracy. Ultrasonic sensor used to complement the image processing success rate to be fully detected object. The obstacle avoidance system was to observe at the program decisions from some obstacle conditions read by the camera and ultrasonic sensors. Visual feedback control based PID controllers are used as a control of drones movement. The conclusion of the obstacle avoidance system was to observe at the program decisions from some obstacle conditions read by the camera and ultrasonic sensors.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1011/1/012046</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Automatic control ; Cameras ; Decisions ; Drone aircraft ; Drones ; Feedback control ; Image processing ; Obstacle avoidance ; Physics ; Position sensing ; Propellers ; Proportional integral derivative ; Sensors</subject><ispartof>Journal of physics. Conference series, 2018-04, Vol.1011 (1), p.12046</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c413t-8eedeb3408dc8c8014bda34dc363f19229341404dc9c5bf712ef4834995bdde63</citedby><cites>FETCH-LOGICAL-c413t-8eedeb3408dc8c8014bda34dc363f19229341404dc9c5bf712ef4834995bdde63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2572236438?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25751,27922,27923,37010,44588</link.rule.ids></links><search><creatorcontrib>Anis, Hanafi</creatorcontrib><creatorcontrib>Fadhillah, Ahmad Haris Indra</creatorcontrib><creatorcontrib>Darma, Surya</creatorcontrib><creatorcontrib>Soekirno, Santoso</creatorcontrib><title>Automatic Quadcopter Control Avoiding Obstacle Using Camera with Integrated Ultrasonic Sensor</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>Automatic navigation on the drone is being developed these days, a wide variety of types of drones and its automatic functions. Drones used in this study was an aircraft with four propellers or quadcopter. In this experiment, image processing used to recognize the position of an object and ultrasonic sensor used to detect obstacle distance. The method used to trace an obsctacle in image processing was the Lucas-Kanade-Tomasi Tracker, which had been widely used due to its high accuracy. Ultrasonic sensor used to complement the image processing success rate to be fully detected object. The obstacle avoidance system was to observe at the program decisions from some obstacle conditions read by the camera and ultrasonic sensors. Visual feedback control based PID controllers are used as a control of drones movement. The conclusion of the obstacle avoidance system was to observe at the program decisions from some obstacle conditions read by the camera and ultrasonic sensors.</description><subject>Automatic control</subject><subject>Cameras</subject><subject>Decisions</subject><subject>Drone aircraft</subject><subject>Drones</subject><subject>Feedback control</subject><subject>Image processing</subject><subject>Obstacle avoidance</subject><subject>Physics</subject><subject>Position sensing</subject><subject>Propellers</subject><subject>Proportional integral derivative</subject><subject>Sensors</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqFkF1LwzAUhoMoOKe_wYB3wmy-2qaXo_gxGUyZu5SQJuns6JqapIr_3paKIgjmJjknz3kPPACcY3SFEecRThmZJXGWRBhhHOEIYYJYcgAm3z-H32_Oj8GJ9zuEaH_SCXied8HuZagUfOykVrYNxsHcNsHZGs7fbKWrZgtXhQ9S1QZu_FDmcm-chO9VeIGLJpitk8FouKmDk942fdjaNN66U3BUytqbs697CjY310_53Wy5ul3k8-VMMUzDjBujTUEZ4lpxxRFmhZaUaUUTWuKMkIwyzFDfyFRclCkmpmScsiyLC61NQqfgYsxtnX3tjA9iZzvX9CsFiVNCaMIo76l0pJSz3jtTitZVe-k-BEZicCkGS2IwJgaXAovRZT95OU5Wtv2Jvn_I179B0eqyh-kf8H8rPgE3UYQ4</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Anis, Hanafi</creator><creator>Fadhillah, Ahmad Haris Indra</creator><creator>Darma, Surya</creator><creator>Soekirno, Santoso</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20180401</creationdate><title>Automatic Quadcopter Control Avoiding Obstacle Using Camera with Integrated Ultrasonic Sensor</title><author>Anis, Hanafi ; Fadhillah, Ahmad Haris Indra ; Darma, Surya ; Soekirno, Santoso</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-8eedeb3408dc8c8014bda34dc363f19229341404dc9c5bf712ef4834995bdde63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Automatic control</topic><topic>Cameras</topic><topic>Decisions</topic><topic>Drone aircraft</topic><topic>Drones</topic><topic>Feedback control</topic><topic>Image processing</topic><topic>Obstacle avoidance</topic><topic>Physics</topic><topic>Position sensing</topic><topic>Propellers</topic><topic>Proportional integral derivative</topic><topic>Sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anis, Hanafi</creatorcontrib><creatorcontrib>Fadhillah, Ahmad Haris Indra</creatorcontrib><creatorcontrib>Darma, Surya</creatorcontrib><creatorcontrib>Soekirno, Santoso</creatorcontrib><collection>Open Access: IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anis, Hanafi</au><au>Fadhillah, Ahmad Haris Indra</au><au>Darma, Surya</au><au>Soekirno, Santoso</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic Quadcopter Control Avoiding Obstacle Using Camera with Integrated Ultrasonic Sensor</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>1011</volume><issue>1</issue><spage>12046</spage><pages>12046-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>Automatic navigation on the drone is being developed these days, a wide variety of types of drones and its automatic functions. Drones used in this study was an aircraft with four propellers or quadcopter. In this experiment, image processing used to recognize the position of an object and ultrasonic sensor used to detect obstacle distance. The method used to trace an obsctacle in image processing was the Lucas-Kanade-Tomasi Tracker, which had been widely used due to its high accuracy. Ultrasonic sensor used to complement the image processing success rate to be fully detected object. The obstacle avoidance system was to observe at the program decisions from some obstacle conditions read by the camera and ultrasonic sensors. Visual feedback control based PID controllers are used as a control of drones movement. The conclusion of the obstacle avoidance system was to observe at the program decisions from some obstacle conditions read by the camera and ultrasonic sensors.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/1011/1/012046</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1742-6588
ispartof Journal of physics. Conference series, 2018-04, Vol.1011 (1), p.12046
issn 1742-6588
1742-6596
language eng
recordid cdi_proquest_journals_2572236438
source Publicly Available Content Database (Proquest) (PQ_SDU_P3); Full-Text Journals in Chemistry (Open access)
subjects Automatic control
Cameras
Decisions
Drone aircraft
Drones
Feedback control
Image processing
Obstacle avoidance
Physics
Position sensing
Propellers
Proportional integral derivative
Sensors
title Automatic Quadcopter Control Avoiding Obstacle Using Camera with Integrated Ultrasonic Sensor
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T14%3A32%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Automatic%20Quadcopter%20Control%20Avoiding%20Obstacle%20Using%20Camera%20with%20Integrated%20Ultrasonic%20Sensor&rft.jtitle=Journal%20of%20physics.%20Conference%20series&rft.au=Anis,%20Hanafi&rft.date=2018-04-01&rft.volume=1011&rft.issue=1&rft.spage=12046&rft.pages=12046-&rft.issn=1742-6588&rft.eissn=1742-6596&rft_id=info:doi/10.1088/1742-6596/1011/1/012046&rft_dat=%3Cproquest_cross%3E2572236438%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c413t-8eedeb3408dc8c8014bda34dc363f19229341404dc9c5bf712ef4834995bdde63%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2572236438&rft_id=info:pmid/&rfr_iscdi=true