Detection of driving space using Vanishing point estimation

This paper presents an in-vehicle monocular road detection system. The system acquires color images in the input and uses image processing techniques to boost robustness of this algorithm that it is possible to improve it's autonomy and "intelligence" in segmentation of driving space...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Urdzik, D., Gamec, J., Gamcova, M., Kocur, D.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 328
container_issue
container_start_page 323
container_title
container_volume
creator Urdzik, D.
Gamec, J.
Gamcova, M.
Kocur, D.
description This paper presents an in-vehicle monocular road detection system. The system acquires color images in the input and uses image processing techniques to boost robustness of this algorithm that it is possible to improve it's autonomy and "intelligence" in segmentation of driving space in different road scenes. The road detection algorithm consists of two main steps: vanishing point estimation and road detection. The main idea of driving space detection is based on successful vanishing point estimation. This algorithm was tested under different traffic scenarios (e.g., simply structured highway, complex urban street, varying illumination conditions).
doi_str_mv 10.1109/SAMI.2010.5423708
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5423708</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5423708</ieee_id><sourcerecordid>5423708</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-f5f92c01e9f2c91124589cf5dfb344aa44e8b088a06cc06c1de937489ebf906a3</originalsourceid><addsrcrecordid>eNpFT9tKAzEQjYig1n6A-JIf2JrLJE3wqVSrhRYfvLyWbHaiEd1dNlHw781ioQMz5xyYmTNDyCVnM86ZvX5abNczwYpUIOScmSNyzkEA6FLE8UEIfUqmKX2wEtKWTn1Gbm4xo8-xa2kXaDPEn9i-0dQ7j_Q7jfzVtTG9j6zvYpspphy_3DhxQU6C-0w43eOEvKzunpcP1ebxfr1cbKrI5ypXQQUrPONog_CWcwHKWB9UE2oJ4BwAmpoZ45j2viRvsBwHxmIdLNNOTsjV_96IiLt-KPbD727_rPwDiXNITQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Detection of driving space using Vanishing point estimation</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Urdzik, D. ; Gamec, J. ; Gamcova, M. ; Kocur, D.</creator><creatorcontrib>Urdzik, D. ; Gamec, J. ; Gamcova, M. ; Kocur, D.</creatorcontrib><description>This paper presents an in-vehicle monocular road detection system. The system acquires color images in the input and uses image processing techniques to boost robustness of this algorithm that it is possible to improve it's autonomy and "intelligence" in segmentation of driving space in different road scenes. The road detection algorithm consists of two main steps: vanishing point estimation and road detection. The main idea of driving space detection is based on successful vanishing point estimation. This algorithm was tested under different traffic scenarios (e.g., simply structured highway, complex urban street, varying illumination conditions).</description><identifier>ISBN: 1424464226</identifier><identifier>ISBN: 9781424464227</identifier><identifier>EISBN: 1424464242</identifier><identifier>EISBN: 9781424464241</identifier><identifier>EISBN: 1424464234</identifier><identifier>EISBN: 9781424464234</identifier><identifier>DOI: 10.1109/SAMI.2010.5423708</identifier><language>eng</language><publisher>IEEE</publisher><subject>Anisotropic magnetoresistance ; Filtering ; Image edge detection ; Informatics ; Layout ; Lighting ; Roads ; Robustness ; Smoothing methods ; Vehicle detection</subject><ispartof>2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2010, p.323-328</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5423708$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5423708$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Urdzik, D.</creatorcontrib><creatorcontrib>Gamec, J.</creatorcontrib><creatorcontrib>Gamcova, M.</creatorcontrib><creatorcontrib>Kocur, D.</creatorcontrib><title>Detection of driving space using Vanishing point estimation</title><title>2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)</title><addtitle>SAMI</addtitle><description>This paper presents an in-vehicle monocular road detection system. The system acquires color images in the input and uses image processing techniques to boost robustness of this algorithm that it is possible to improve it's autonomy and "intelligence" in segmentation of driving space in different road scenes. The road detection algorithm consists of two main steps: vanishing point estimation and road detection. The main idea of driving space detection is based on successful vanishing point estimation. This algorithm was tested under different traffic scenarios (e.g., simply structured highway, complex urban street, varying illumination conditions).</description><subject>Anisotropic magnetoresistance</subject><subject>Filtering</subject><subject>Image edge detection</subject><subject>Informatics</subject><subject>Layout</subject><subject>Lighting</subject><subject>Roads</subject><subject>Robustness</subject><subject>Smoothing methods</subject><subject>Vehicle detection</subject><isbn>1424464226</isbn><isbn>9781424464227</isbn><isbn>1424464242</isbn><isbn>9781424464241</isbn><isbn>1424464234</isbn><isbn>9781424464234</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFT9tKAzEQjYig1n6A-JIf2JrLJE3wqVSrhRYfvLyWbHaiEd1dNlHw781ioQMz5xyYmTNDyCVnM86ZvX5abNczwYpUIOScmSNyzkEA6FLE8UEIfUqmKX2wEtKWTn1Gbm4xo8-xa2kXaDPEn9i-0dQ7j_Q7jfzVtTG9j6zvYpspphy_3DhxQU6C-0w43eOEvKzunpcP1ebxfr1cbKrI5ypXQQUrPONog_CWcwHKWB9UE2oJ4BwAmpoZ45j2viRvsBwHxmIdLNNOTsjV_96IiLt-KPbD727_rPwDiXNITQ</recordid><startdate>201001</startdate><enddate>201001</enddate><creator>Urdzik, D.</creator><creator>Gamec, J.</creator><creator>Gamcova, M.</creator><creator>Kocur, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201001</creationdate><title>Detection of driving space using Vanishing point estimation</title><author>Urdzik, D. ; Gamec, J. ; Gamcova, M. ; Kocur, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f5f92c01e9f2c91124589cf5dfb344aa44e8b088a06cc06c1de937489ebf906a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Anisotropic magnetoresistance</topic><topic>Filtering</topic><topic>Image edge detection</topic><topic>Informatics</topic><topic>Layout</topic><topic>Lighting</topic><topic>Roads</topic><topic>Robustness</topic><topic>Smoothing methods</topic><topic>Vehicle detection</topic><toplevel>online_resources</toplevel><creatorcontrib>Urdzik, D.</creatorcontrib><creatorcontrib>Gamec, J.</creatorcontrib><creatorcontrib>Gamcova, M.</creatorcontrib><creatorcontrib>Kocur, D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Urdzik, D.</au><au>Gamec, J.</au><au>Gamcova, M.</au><au>Kocur, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Detection of driving space using Vanishing point estimation</atitle><btitle>2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI)</btitle><stitle>SAMI</stitle><date>2010-01</date><risdate>2010</risdate><spage>323</spage><epage>328</epage><pages>323-328</pages><isbn>1424464226</isbn><isbn>9781424464227</isbn><eisbn>1424464242</eisbn><eisbn>9781424464241</eisbn><eisbn>1424464234</eisbn><eisbn>9781424464234</eisbn><abstract>This paper presents an in-vehicle monocular road detection system. The system acquires color images in the input and uses image processing techniques to boost robustness of this algorithm that it is possible to improve it's autonomy and "intelligence" in segmentation of driving space in different road scenes. The road detection algorithm consists of two main steps: vanishing point estimation and road detection. The main idea of driving space detection is based on successful vanishing point estimation. This algorithm was tested under different traffic scenarios (e.g., simply structured highway, complex urban street, varying illumination conditions).</abstract><pub>IEEE</pub><doi>10.1109/SAMI.2010.5423708</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1424464226
ispartof 2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2010, p.323-328
issn
language eng
recordid cdi_ieee_primary_5423708
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Anisotropic magnetoresistance
Filtering
Image edge detection
Informatics
Layout
Lighting
Roads
Robustness
Smoothing methods
Vehicle detection
title Detection of driving space using Vanishing point estimation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T20%3A19%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Detection%20of%20driving%20space%20using%20Vanishing%20point%20estimation&rft.btitle=2010%20IEEE%208th%20International%20Symposium%20on%20Applied%20Machine%20Intelligence%20and%20Informatics%20(SAMI)&rft.au=Urdzik,%20D.&rft.date=2010-01&rft.spage=323&rft.epage=328&rft.pages=323-328&rft.isbn=1424464226&rft.isbn_list=9781424464227&rft_id=info:doi/10.1109/SAMI.2010.5423708&rft_dat=%3Cieee_6IE%3E5423708%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424464242&rft.eisbn_list=9781424464241&rft.eisbn_list=1424464234&rft.eisbn_list=9781424464234&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5423708&rfr_iscdi=true