| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2023-03-02 |
| タイトル |
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タイトル |
決定木による自動車運転時の危険予知に関する知識獲得 |
| タイトル |
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タイトル |
Knowledge acquisition by decision trees from dangerous scenes at car-driving |
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言語 |
en |
| 言語 |
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言語 |
jpn |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
| 著者 |
竹植, 正和
髙橋, 健一
TAKEUE, Masakazu
TAKAHASHI, Kenichi
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
The objective of this study is to obtain predictive rules and knowledge regarding dangerous scenes that drivers encounter when driving a car. First, dangerous objects and elements in scenes included in still and moving pictures are extracted as classes and attributions. Then, decision trees are made using those data, and their accuracy is examined through the K-cross validation method. In order to improve the accuracy, a data sort algorithm considering distributions of attributes and classes is proposed. Experiments are conducted to confirm that effective rules and knowledge can be obtained. |
| 内容記述 |
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内容記述タイプ |
Other |
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内容記述 |
2012 IEEE SMC Hiroshima Chapter若手研究会, 2012年7月14日, 広島市立大学 |
| 書誌情報 |
2012 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2012 IEEE SMC Hiroshima Chapter 若手研究会講演論文集
p. 51-54,
発行日 2012-07
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| 出版者 |
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出版者 |
IEEE SMC Hiroshima Chapter |
| 権利 |
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権利情報 |
©Copyright by IEEE SMC Hiroshima Chapter. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting|republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| 関連サイト |
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識別子タイプ |
URI |
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関連識別子 |
http://www.smc-hiroshima.info.hiroshima-cu.ac.jp/ |
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関連名称 |
http://www.smc-hiroshima.info.hiroshima-cu.ac.jp/ |
| フォーマット |
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内容記述タイプ |
Other |
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内容記述 |
application/pdf |
| 著者版フラグ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
SMCHiroshima2012_51.pdf (556.1 kB)
