WEKO3
アイテム
{"_buckets": {"deposit": "53312ef8-5f32-4265-b20c-5f523cd8629d"}, "_deposit": {"id": "21704", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "21704"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00021704", "sets": ["314"]}, "author_link": ["64345", "64346", "64347", "64348", "64349", "64350", "64351", "64352", "64353", "64354", "64355", "64356"], "item_10_alternative_title_19": {"attribute_name": "その他のタイトル", "attribute_value_mlt": [{"subitem_alternative_title": "Prediction of driving behavior using driver\u0027s gaze information", "subitem_alternative_title_language": "en"}]}, "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2011-05-12", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "48", "bibliographicPageEnd": "110", "bibliographicPageStart": "105", "bibliographicVolumeNumber": "111", "bibliographic_titles": [{"bibliographic_title": "電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解", "bibliographic_titleLang": "ja"}]}]}, "item_10_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "近年,運転行動予測に基づく安全運転支援が強く求められている.一般的にドライバは,認知・判断・操作の手順を踏み自動車を運転する.ドライバは主に視覚からの情報により外界を認知するため,認知の段階に深く関わっている視線情報は,車両情報に先行して情報が得られる.そこで本研究では,ドライバの視線情報を利用し,運転行動を予測する手法を提案する.予測対象とした運転行動は,左折,右折,左車線変更,右車線変更,信号直進,信号停止の6種類である.提案手法は,学習段階と予測段階の2段階に分けられる.学習段階では,各運転行動が起きる前の視線情報から予測に利用できる特徴を抽出し,事前に学習を行う.そして,予測対象である視線情報から,学習段階と同様にして特徴を抽出し,各特徴を学習したSVMにより運転行動予測を行う.実際に一般道を走行して取得した視線データを用いて評価実験を行い,提案手法の有効性を確認した.", "subitem_description_language": "ja", "subitem_description_type": "Abstract"}, {"subitem_description": "In recent years, driving assistance systems based on the prediction of driving behavior are becoming important for safe driving. A driver typically drives a vehicle following the procedure of recognition, decision and operation. Because a driver mainly recognizes the outside world from visual information, the gaze information will reflect the driver\u0027s behavior earlier than the information obtained from the vehicle. Therefore, we propose a method of predicting a driving behavior using the driver\u0027s gaze information. This method tries to predict six behaviors: left turn, right turn, lane change from right to left, lane change from left to right, going straight at a traffic intersection and stopping for a red light. The proposed method consists of two phases, namely, learning phase and predicting phase. In the learning phase, the method extracts features from gaze information and constructs a SVM classifier. Then, the method extracts the features from gaze information during driving, and predict the driving behavior using the constructed classifier. We evaluated the method with the gaze information obtained on an open road, and we confirmed its effectiveness. [Note] This document is an informal handout distributed at an IEICE TC-PRMU workshop.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_10_description_5": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "IEICE Technical Report;IE2011-27, PRMU2011-19, MI2011-19", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "URI", "subitem_identifier_uri": "http://ci.nii.ac.jp/naid/110008726271/"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/23853"}]}, "item_10_publisher_32": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "一般社団法人電子情報通信学会", "subitem_publisher_language": "ja"}]}, "item_10_relation_40": {"attribute_name": "シリーズ", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "IEICE Technical Report;IE2011-27, PRMU2011-19, MI2011-19"}]}]}, "item_10_relation_43": {"attribute_name": "関連情報", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "http://ci.nii.ac.jp/naid/110008726271/", "subitem_relation_type_select": "URI"}}]}, "item_10_rights_12": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "(c)一般社団法人電子情報通信学会 本文データは学協会の許諾に基づきCiNiiから複製したものである", "subitem_rights_language": "ja"}]}, "item_10_select_15": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_source_id_7": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "0913-5685", "subitem_source_identifier_type": "PISSN"}]}, "item_1615787544753": {"attribute_name": "出版タイプ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_access_right": {"attribute_name": "アクセス権", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "上坂, 竜規", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64345", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "野田, 雅文", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64346", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "目加田, 慶人", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64347", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "出口, 大輔", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64348", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "井手, 一郎", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64349", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "村瀬, 洋", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "64350", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "KAMISAKA, Tatsuki", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64351", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "NODA, Masafumi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64352", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MEKADA, Yoshito", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64353", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "DEGUCHI, Daisuke", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64354", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "IDE, Ichiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64355", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "MURASE, Hiroshi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "64356", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-21"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "110008726271.pdf", "filesize": [{"value": "1.1 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 1100000.0, "url": {"label": "110008726271.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/21704/files/110008726271.pdf"}, "version_id": "1c887982-92aa-40dc-984f-8b95800a258a"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "運転行動予測", "subitem_subject_scheme": "Other"}, {"subitem_subject": "視線情報", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Prediction of driving behavior", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Gaze information", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "ドライバの視線情報を利用した運転行動予測(一般セッション,医用画像処理分野における計測・認識・理解)", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "ドライバの視線情報を利用した運転行動予測(一般セッション,医用画像処理分野における計測・認識・理解)", "subitem_title_language": "ja"}]}, "item_type_id": "10", "owner": "1", "path": ["314"], "permalink_uri": "http://hdl.handle.net/2237/23853", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2016-03-16"}, "publish_date": "2016-03-16", "publish_status": "0", "recid": "21704", "relation": {}, "relation_version_is_last": true, "title": ["ドライバの視線情報を利用した運転行動予測(一般セッション,医用画像処理分野における計測・認識・理解)"], "weko_shared_id": -1}
ドライバの視線情報を利用した運転行動予測(一般セッション,医用画像処理分野における計測・認識・理解)
http://hdl.handle.net/2237/23853
http://hdl.handle.net/2237/238533e6439ca-4b17-4fac-a0eb-5ec39b25a44d
名前 / ファイル | ライセンス | アクション |
---|---|---|
110008726271.pdf (1.1 MB)
|
|
Item type | 学術雑誌論文 / Journal Article(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2016-03-16 | |||||
タイトル | ||||||
タイトル | ドライバの視線情報を利用した運転行動予測(一般セッション,医用画像処理分野における計測・認識・理解) | |||||
言語 | ja | |||||
その他のタイトル | ||||||
その他のタイトル | Prediction of driving behavior using driver's gaze information | |||||
言語 | en | |||||
著者 |
上坂, 竜規
× 上坂, 竜規× 野田, 雅文× 目加田, 慶人× 出口, 大輔× 井手, 一郎× 村瀬, 洋× KAMISAKA, Tatsuki× NODA, Masafumi× MEKADA, Yoshito× DEGUCHI, Daisuke× IDE, Ichiro× MURASE, Hiroshi |
|||||
アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
権利 | ||||||
言語 | ja | |||||
権利情報 | (c)一般社団法人電子情報通信学会 本文データは学協会の許諾に基づきCiNiiから複製したものである | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 運転行動予測 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 視線情報 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Prediction of driving behavior | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Gaze information | |||||
抄録 | ||||||
内容記述 | 近年,運転行動予測に基づく安全運転支援が強く求められている.一般的にドライバは,認知・判断・操作の手順を踏み自動車を運転する.ドライバは主に視覚からの情報により外界を認知するため,認知の段階に深く関わっている視線情報は,車両情報に先行して情報が得られる.そこで本研究では,ドライバの視線情報を利用し,運転行動を予測する手法を提案する.予測対象とした運転行動は,左折,右折,左車線変更,右車線変更,信号直進,信号停止の6種類である.提案手法は,学習段階と予測段階の2段階に分けられる.学習段階では,各運転行動が起きる前の視線情報から予測に利用できる特徴を抽出し,事前に学習を行う.そして,予測対象である視線情報から,学習段階と同様にして特徴を抽出し,各特徴を学習したSVMにより運転行動予測を行う.実際に一般道を走行して取得した視線データを用いて評価実験を行い,提案手法の有効性を確認した. | |||||
言語 | ja | |||||
内容記述タイプ | Abstract | |||||
抄録 | ||||||
内容記述 | In recent years, driving assistance systems based on the prediction of driving behavior are becoming important for safe driving. A driver typically drives a vehicle following the procedure of recognition, decision and operation. Because a driver mainly recognizes the outside world from visual information, the gaze information will reflect the driver's behavior earlier than the information obtained from the vehicle. Therefore, we propose a method of predicting a driving behavior using the driver's gaze information. This method tries to predict six behaviors: left turn, right turn, lane change from right to left, lane change from left to right, going straight at a traffic intersection and stopping for a red light. The proposed method consists of two phases, namely, learning phase and predicting phase. In the learning phase, the method extracts features from gaze information and constructs a SVM classifier. Then, the method extracts the features from gaze information during driving, and predict the driving behavior using the constructed classifier. We evaluated the method with the gaze information obtained on an open road, and we confirmed its effectiveness. [Note] This document is an informal handout distributed at an IEICE TC-PRMU workshop. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
内容記述 | ||||||
内容記述 | IEICE Technical Report;IE2011-27, PRMU2011-19, MI2011-19 | |||||
言語 | en | |||||
内容記述タイプ | Other | |||||
出版者 | ||||||
言語 | ja | |||||
出版者 | 一般社団法人電子情報通信学会 | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
関連情報 | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | URI | |||||
関連識別子 | http://ci.nii.ac.jp/naid/110008726271/ | |||||
ISSN | ||||||
収録物識別子タイプ | PISSN | |||||
収録物識別子 | 0913-5685 | |||||
書誌情報 |
ja : 電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解 巻 111, 号 48, p. 105-110, 発行日 2011-05-12 |
|||||
著者版フラグ | ||||||
値 | publisher | |||||
シリーズ | ||||||
関連名称 | IEICE Technical Report;IE2011-27, PRMU2011-19, MI2011-19 | |||||
URI | ||||||
識別子 | http://ci.nii.ac.jp/naid/110008726271/ | |||||
識別子タイプ | URI | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/23853 | |||||
識別子タイプ | HDL |