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-広島市立大学機関リポジトリ

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.

掲載雑誌名

2012 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2012 IEEE SMC Hiroshima Chapter 若手研究会講演論文集

開始ページ

終了ページ

出版年月日

2012-07

出版者

IEEE SMC Hiroshima Chapter

本文言語

日本語

資料タイプ

会議発表論文

著者版フラグ

著者版

権利情報

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