Application of Obstacle Identification Algorithm Based on Characteristics to Intelligent Vehicle
This study aims to tackle the obstacle vehicle identification problems when an intelligent vehicle is in motion. The obstacle vehicle identification is realized by using the grade criteria such as gray scales of pixels to determine the characteristics of the shadow cast by the bottom of obstacles ah...
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| Veröffentlicht in: | Information Technology Journal 2013, Vol.12 (23), p.7160-7164 |
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| container_title | Information Technology Journal |
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| creator | Cui-ming, LI Jian, CHEN Ping, YANG Yan-hong, REN |
| description | This study aims to tackle the obstacle vehicle identification problems when an intelligent vehicle is in motion. The obstacle vehicle identification is realized by using the grade criteria such as gray scales of pixels to determine the characteristics of the shadow cast by the bottom of obstacles ahead of the intelligent vehicle in motion and by analyzing the texture features of the obstacle vehicle. Computer simulation is performed against data for identifying and handling the obstacles. The results show that, the obstacle identification algorithm based on characteristics is able to identify obstacles fast and its computing is simple with high reliability. |
| doi_str_mv | 10.3923/itj.2013.7160.7164 |
| format | Article |
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The obstacle vehicle identification is realized by using the grade criteria such as gray scales of pixels to determine the characteristics of the shadow cast by the bottom of obstacles ahead of the intelligent vehicle in motion and by analyzing the texture features of the obstacle vehicle. Computer simulation is performed against data for identifying and handling the obstacles. The results show that, the obstacle identification algorithm based on characteristics is able to identify obstacles fast and its computing is simple with high reliability.</description><identifier>ISSN: 1812-5638</identifier><identifier>EISSN: 1812-5646</identifier><identifier>DOI: 10.3923/itj.2013.7160.7164</identifier><language>eng</language><subject>Algorithms ; Bottom casting ; Intelligent vehicles ; Obstacles ; Shadows ; Surface layer ; Texture ; Vehicle identification</subject><ispartof>Information Technology Journal, 2013, Vol.12 (23), p.7160-7164</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27900,27901,27902</link.rule.ids></links><search><creatorcontrib>Cui-ming, LI</creatorcontrib><creatorcontrib>Jian, CHEN</creatorcontrib><creatorcontrib>Ping, YANG</creatorcontrib><creatorcontrib>Yan-hong, REN</creatorcontrib><title>Application of Obstacle Identification Algorithm Based on Characteristics to Intelligent Vehicle</title><title>Information Technology Journal</title><description>This study aims to tackle the obstacle vehicle identification problems when an intelligent vehicle is in motion. 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The obstacle vehicle identification is realized by using the grade criteria such as gray scales of pixels to determine the characteristics of the shadow cast by the bottom of obstacles ahead of the intelligent vehicle in motion and by analyzing the texture features of the obstacle vehicle. Computer simulation is performed against data for identifying and handling the obstacles. The results show that, the obstacle identification algorithm based on characteristics is able to identify obstacles fast and its computing is simple with high reliability.</abstract><doi>10.3923/itj.2013.7160.7164</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext |
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| ispartof | Information Technology Journal, 2013, Vol.12 (23), p.7160-7164 |
| issn | 1812-5638 1812-5646 |
| language | eng |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Science Alert |
| subjects | Algorithms Bottom casting Intelligent vehicles Obstacles Shadows Surface layer Texture Vehicle identification |
| title | Application of Obstacle Identification Algorithm Based on Characteristics to Intelligent Vehicle |
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