Vehicle tracking based on robust bounded-error nonlinear state estimation using interval analysis
Designing efficient localization techniques is a key issue for autonomous vehicles. This localization is usually based on information provided by proprioceptive sensors such as odometers (encoders that measure the rotation of each wheel) and exteroceptive sensors such as ultrasonic or laser telemete...
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| creator | Kieffer, M. Seignez, E. Lambert, A. Maurin, T. Walter, E. |
| description | Designing efficient localization techniques is a key issue for autonomous vehicles. This localization is usually based on information provided by proprioceptive sensors such as odometers (encoders that measure the rotation of each wheel) and exteroceptive sensors such as ultrasonic or laser telemeters. This paper is devoted to the localization of a vehicle in a structured environment described by a set of segments, without an initial precise localization. The main contribution of this work is to show that real-time robust localization can be achieved using the bounded-error technique in a real environment. |
| doi_str_mv | 10.1109/ICTTA.2004.1307615 |
| format | Conference Proceeding |
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The main contribution of this work is to show that real-time robust localization can be achieved using the bounded-error technique in a real environment.</description><subject>Algorithm design and analysis</subject><subject>Equations</subject><subject>Intelligent sensors</subject><subject>Intelligent vehicles</subject><subject>Mobile robots</subject><subject>Remotely operated vehicles</subject><subject>Robustness</subject><subject>Sonar measurements</subject><subject>State estimation</subject><subject>Ultrasonic variables measurement</subject><isbn>9780780384828</isbn><isbn>0780384822</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9js2KAjEQhAMirOi8gF76BZxNjD8zRxFlvQ9epcdpd7PGRLozgm_vCJ4tCupQ9UEpNTY6N0aX3_tNVa3zmdbz3Fi9WppFT2XlqtCdbTEvZsWXykT-dSdbLoy1A4UH-nMnT5AYTxcXfqFGoQZiAI51Kwnq2IaGmikxR4YQg3eBkEESJgKS5K6YXLdv5YW7kIjv6AED-oc4Gan-Gb1Q9s6hmuy21eZn6ojoeOMO58fxfdh-bp_66kcF</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Kieffer, M.</creator><creator>Seignez, E.</creator><creator>Lambert, A.</creator><creator>Maurin, T.</creator><creator>Walter, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>Vehicle tracking based on robust bounded-error nonlinear state estimation using interval analysis</title><author>Kieffer, M. ; Seignez, E. ; Lambert, A. ; Maurin, T. ; Walter, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_13076153</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Algorithm design and analysis</topic><topic>Equations</topic><topic>Intelligent sensors</topic><topic>Intelligent vehicles</topic><topic>Mobile robots</topic><topic>Remotely operated vehicles</topic><topic>Robustness</topic><topic>Sonar measurements</topic><topic>State estimation</topic><topic>Ultrasonic variables measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Kieffer, M.</creatorcontrib><creatorcontrib>Seignez, E.</creatorcontrib><creatorcontrib>Lambert, A.</creatorcontrib><creatorcontrib>Maurin, T.</creatorcontrib><creatorcontrib>Walter, E.</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>Kieffer, M.</au><au>Seignez, E.</au><au>Lambert, A.</au><au>Maurin, T.</au><au>Walter, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Vehicle tracking based on robust bounded-error nonlinear state estimation using interval analysis</atitle><btitle>Proceedings. 2004 International Conference on Information and Communication Technologies: From Theory to Applications, 2004</btitle><stitle>ICTTA</stitle><date>2004</date><risdate>2004</risdate><spage>65</spage><epage>66</epage><pages>65-66</pages><isbn>9780780384828</isbn><isbn>0780384822</isbn><abstract>Designing efficient localization techniques is a key issue for autonomous vehicles. 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| identifier | ISBN: 9780780384828 |
| ispartof | Proceedings. 2004 International Conference on Information and Communication Technologies: From Theory to Applications, 2004, 2004, p.65-66 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Equations Intelligent sensors Intelligent vehicles Mobile robots Remotely operated vehicles Robustness Sonar measurements State estimation Ultrasonic variables measurement |
| title | Vehicle tracking based on robust bounded-error nonlinear state estimation using interval analysis |
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