Sensor fusion-based precise obstacle localisation for automatic parking systems
A precise obstacle localisation method for automatic parking systems is proposed. The proposed method improves the obstacle localisation accuracy by fusing only the sensors already installed on mass-produced vehicles. This method finds the initial obstacle location using ultrasonic sensors. On the b...
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| Veröffentlicht in: | Electronics letters 2018-04, Vol.54 (7), p.445-447 |
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| container_title | Electronics letters |
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| creator | Suhr, J.K Jung, H.G |
| description | A precise obstacle localisation method for automatic parking systems is proposed. The proposed method improves the obstacle localisation accuracy by fusing only the sensors already installed on mass-produced vehicles. This method finds the initial obstacle location using ultrasonic sensors. On the basis of the initial obstacle location, it detects the obstacle's vertical outlines using images provided by an around view monitor system while the ego-vehicle is moving. The sequentially detected vertical outlines are combined based on the ego-vehicle positions estimated by built-in motion sensors. Finally, the obstacle location is refined by calculating the intersection point of the combined vertical outlines. In experiments, the proposed method was quantitatively evaluated and outperformed the previous method. |
| doi_str_mv | 10.1049/el.2018.0196 |
| format | Article |
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The proposed method improves the obstacle localisation accuracy by fusing only the sensors already installed on mass-produced vehicles. This method finds the initial obstacle location using ultrasonic sensors. On the basis of the initial obstacle location, it detects the obstacle's vertical outlines using images provided by an around view monitor system while the ego-vehicle is moving. The sequentially detected vertical outlines are combined based on the ego-vehicle positions estimated by built-in motion sensors. Finally, the obstacle location is refined by calculating the intersection point of the combined vertical outlines. In experiments, the proposed method was quantitatively evaluated and outperformed the previous method.</description><identifier>ISSN: 0013-5194</identifier><identifier>ISSN: 1350-911X</identifier><identifier>EISSN: 1350-911X</identifier><identifier>DOI: 10.1049/el.2018.0196</identifier><language>eng</language><publisher>The Institution of Engineering and Technology</publisher><subject>around view monitor system ; automatic parking systems ; built‐in motion sensors ; combined vertical outlines ; ego‐vehicle position estimation ; image fusion ; image sensors ; image sequences ; initial obstacle location ; mass‐produced vehicles ; obstacle vertical outline detection ; Radar, sonar and navigation ; sensor fusion‐based precise obstacle localisation ; ultrasonic devices ; ultrasonic sensors ; vertical outline sequential detection</subject><ispartof>Electronics letters, 2018-04, Vol.54 (7), p.445-447</ispartof><rights>The Institution of Engineering and Technology</rights><rights>2020 The Institution of Engineering and Technology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3434-e81142cd86e81f159f52191541bdc45108ee8c4b785ac9868a603d92df0bd6433</citedby><cites>FETCH-LOGICAL-c3434-e81142cd86e81f159f52191541bdc45108ee8c4b785ac9868a603d92df0bd6433</cites><orcidid>0000-0002-4169-4358</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1049%2Fel.2018.0196$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1049%2Fel.2018.0196$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,11543,27903,27904,45553,45554,46030,46454</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1049%2Fel.2018.0196$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc></links><search><creatorcontrib>Suhr, J.K</creatorcontrib><creatorcontrib>Jung, H.G</creatorcontrib><title>Sensor fusion-based precise obstacle localisation for automatic parking systems</title><title>Electronics letters</title><description>A precise obstacle localisation method for automatic parking systems is proposed. The proposed method improves the obstacle localisation accuracy by fusing only the sensors already installed on mass-produced vehicles. This method finds the initial obstacle location using ultrasonic sensors. On the basis of the initial obstacle location, it detects the obstacle's vertical outlines using images provided by an around view monitor system while the ego-vehicle is moving. The sequentially detected vertical outlines are combined based on the ego-vehicle positions estimated by built-in motion sensors. Finally, the obstacle location is refined by calculating the intersection point of the combined vertical outlines. In experiments, the proposed method was quantitatively evaluated and outperformed the previous method.</description><subject>around view monitor system</subject><subject>automatic parking systems</subject><subject>built‐in motion sensors</subject><subject>combined vertical outlines</subject><subject>ego‐vehicle position estimation</subject><subject>image fusion</subject><subject>image sensors</subject><subject>image sequences</subject><subject>initial obstacle location</subject><subject>mass‐produced vehicles</subject><subject>obstacle vertical outline detection</subject><subject>Radar, sonar and navigation</subject><subject>sensor fusion‐based precise obstacle localisation</subject><subject>ultrasonic devices</subject><subject>ultrasonic sensors</subject><subject>vertical outline sequential detection</subject><issn>0013-5194</issn><issn>1350-911X</issn><issn>1350-911X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kDFPwzAQhS0EElXpxg_IwMBAii-2gz1C1QJSpA6AxGY5zhkZ3CSyU6H-e1KVgQGY7k767j29R8g50DlQrq4xzAsKck5BlUdkAkzQXAG8HpMJpcByAYqfkllKvqbAgZeUw4Ssn7BNXczcNvmuzWuTsMn6iNYnzLo6DcYGzEJnTfDJDCOTuRE326HbjKfNehM_fPuWpV0acJPOyIkzIeHse07Jy2r5vHjIq_X94-K2yi3jjOcoAXhhG1mOmwOhnChAgeBQN5YLoBJRWl7fSGGskqU0JWWNKhpH66bkjE3J1UHXxi6liE730W9M3Gmget-HxqD3feh9HyMuDvinD7j7l9XLqiruVlSI0WdKLg9_Hgf93m1jO4b6y-LiF3RZ_VDuG8e-AOcnfDY</recordid><startdate>20180405</startdate><enddate>20180405</enddate><creator>Suhr, J.K</creator><creator>Jung, H.G</creator><general>The Institution of Engineering and Technology</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-4169-4358</orcidid></search><sort><creationdate>20180405</creationdate><title>Sensor fusion-based precise obstacle localisation for automatic parking systems</title><author>Suhr, J.K ; Jung, H.G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3434-e81142cd86e81f159f52191541bdc45108ee8c4b785ac9868a603d92df0bd6433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>around view monitor system</topic><topic>automatic parking systems</topic><topic>built‐in motion sensors</topic><topic>combined vertical outlines</topic><topic>ego‐vehicle position estimation</topic><topic>image fusion</topic><topic>image sensors</topic><topic>image sequences</topic><topic>initial obstacle location</topic><topic>mass‐produced vehicles</topic><topic>obstacle vertical outline detection</topic><topic>Radar, sonar and navigation</topic><topic>sensor fusion‐based precise obstacle localisation</topic><topic>ultrasonic devices</topic><topic>ultrasonic sensors</topic><topic>vertical outline sequential detection</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suhr, J.K</creatorcontrib><creatorcontrib>Jung, H.G</creatorcontrib><collection>CrossRef</collection><jtitle>Electronics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Suhr, J.K</au><au>Jung, H.G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensor fusion-based precise obstacle localisation for automatic parking systems</atitle><jtitle>Electronics letters</jtitle><date>2018-04-05</date><risdate>2018</risdate><volume>54</volume><issue>7</issue><spage>445</spage><epage>447</epage><pages>445-447</pages><issn>0013-5194</issn><issn>1350-911X</issn><eissn>1350-911X</eissn><abstract>A precise obstacle localisation method for automatic parking systems is proposed. The proposed method improves the obstacle localisation accuracy by fusing only the sensors already installed on mass-produced vehicles. This method finds the initial obstacle location using ultrasonic sensors. On the basis of the initial obstacle location, it detects the obstacle's vertical outlines using images provided by an around view monitor system while the ego-vehicle is moving. The sequentially detected vertical outlines are combined based on the ego-vehicle positions estimated by built-in motion sensors. Finally, the obstacle location is refined by calculating the intersection point of the combined vertical outlines. In experiments, the proposed method was quantitatively evaluated and outperformed the previous method.</abstract><pub>The Institution of Engineering and Technology</pub><doi>10.1049/el.2018.0196</doi><tpages>3</tpages><orcidid>https://orcid.org/0000-0002-4169-4358</orcidid></addata></record> |
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| ispartof | Electronics letters, 2018-04, Vol.54 (7), p.445-447 |
| issn | 0013-5194 1350-911X 1350-911X |
| language | eng |
| recordid | cdi_iet_journals_10_1049_el_2018_0196 |
| source | Wiley Online Library Open Access |
| subjects | around view monitor system automatic parking systems built‐in motion sensors combined vertical outlines ego‐vehicle position estimation image fusion image sensors image sequences initial obstacle location mass‐produced vehicles obstacle vertical outline detection Radar, sonar and navigation sensor fusion‐based precise obstacle localisation ultrasonic devices ultrasonic sensors vertical outline sequential detection |
| title | Sensor fusion-based precise obstacle localisation for automatic parking systems |
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