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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 韓仁毓(Jen-Yu Han) | |
| dc.contributor.author | Tsung-Hsien Juan | en |
| dc.contributor.author | 阮宗憲 | zh_TW |
| dc.date.accessioned | 2021-06-15T16:12:49Z | - |
| dc.date.available | 2017-08-20 | |
| dc.date.copyright | 2015-08-20 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015-08-18 | |
| dc.identifier.citation | Barnes, N., and Loy, G., 2006. Real-Time Regular Polygonal Sign Detection (Vol. 25). Springer Berlin Heidelberg.6.
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Intelligent Transport Systems, IET, 6(3). pp. 282-291. 交通部，2003，公路養護手冊。交通部公路總局，臺北，臺灣。 交通部，2014，102年道路長度及橋梁座數概況。URL: <http://www.motc.gov.tw/ch-/home.jsp?id=64&parentpath=0,6> (last date accessed: 15 June 2015) 交通部公路總局，2014，中華民國102年交通部公路總局統計年報。交通部，臺北，臺灣 黃維信，董基良，林志勇，許峻嘉，黃臣鴻，李明德，陳一昌，許書耕，張昭芸，黃俊豪，2013，公路養護巡查作業效率提升之研究。交通部運輸研究所，臺北，臺灣。 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52362 | - |
| dc.description.abstract | 交通標誌與標線為公路養護工程中重要的項目之一，但目前在巡查作業上多仰賴人工進行，導致公路巡查效率不彰且資料更新緩慢。本研究發展以影像為基礎之標誌標線自動化辨識及測繪技術，以複合式門檻建立適應戶外環境之候選物偵測方法，接著以具尺度、平移及旋轉不變性之特徵進行形狀分類再透過支持向量機辨識標誌圖案內容，完成辨識後以時間連續性與成像幾何為依據將針對相同標誌標線之連續辨識影像分段，最後以空間前方交會解算標誌標線之物空間坐標。由實驗結果顯示：在辨識階段中標誌、標線之形狀分類正確率以獨立個數計皆可達100%；以影像張數計則可個別達98.2 %與99.7 %，標誌之圖案辨識正確率以獨立個數計可達95.0 %；以影像張數計可達89.4 %，並且於日、夜間皆能獲得穩定的成果。而藉由物件追蹤能改正分類錯誤之物件類別並提供基線長足夠之共軛像對以進行空間坐標解算。 | zh_TW |
| dc.description.abstract | The maintenance of road signs and markings is an important issue for road user safety. An automatic recognition technique can provide road information in short time, making maintenance tasks more efficient. This study developed an image-based approach for automatic traffic signs and markings recognition and reconstruction. The proposed algorithm is translation-, scale-, and rotation variant, and is thus capable of detecting and recognizing traffic signs and markings in an outdoor environment. The object tracking technique can be used to segment image sequence adaptively and to provide conjugate photos for space intersection. Based on the results from a field experiment, it has been demonstrated that the successful detection rate reached 100 % for traffic signs and 80.9 % for markings. The classification accuracy of shape reached 100 % for both traffic signs and markings, and the recognition accuracy of traffic sign pattern reached 95.0 %. Consequently, an image-based automatic recognition and reconstruction of traffic signs and markings is achieved by algorithm proposed in this study. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T16:12:49Z (GMT). No. of bitstreams: 1 ntu-104-R02521113-1.pdf: 9398190 bytes, checksum: f83449c01639e70abe2b57a99ac84df3 (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | 口試委員審定書 I
謝誌 II 摘要 III Abstract IV 目錄 V 圖目錄 VIII 表目錄 XI 第一章 緒論 1 1-1 前言 1 1-2 研究背景 2 1-3 研究動機及目的 5 1-4 論文架構 6 第二章 文獻回顧 7 2-1 影像基礎之候選物偵測 7 2-1.1 基於顏色之方法 7 2-1.2 基於形狀之方法 11 2-2 影像基礎之標誌標線物件辨識 12 2-2.1 形狀分類 12 2-2.2 圖案辨識 14 2-3 影像基礎之標誌標線定位 17 2-4 小結 20 第三章 研究方法 22 3-1 影像前處理 22 3-2 候選物偵測 24 3-2.1 影像二值化 24 3-2.2 群聚分析 24 3-2.3 獨立候選物萃取 26 3-3 標誌標線辨識 27 3-3.1 形狀分類 27 3-3.2 圖案辨識 30 3-4 標誌標線坐標解算 36 3-5 小結 40 第四章 數值實驗分析 41 4-1 實驗配置 41 4-2 候選物偵測成果 42 4-3 形狀分類成果 46 4-3.1 標誌分類成果探討 47 4-3.2 標線分類成果探討 49 4-4 圖案內容辨識成果 50 4-5 物件追蹤成果 53 4-6 坐標解算成果與檢核 58 4-6.1 解算成果 58 4-6.2 成果檢核 60 4-7 運算效能分析 64 4-8 夜間實驗 65 4-9 小結 74 第五章 結論與建議 76 5-1 結論 76 5-2 建議 78 參考文獻 81 | |
| dc.language.iso | zh-TW | |
| dc.subject | 空間前方交會 | zh_TW |
| dc.subject | 標誌標線辨識 | zh_TW |
| dc.subject | DtB向量 | zh_TW |
| dc.subject | 支持向量機 | zh_TW |
| dc.subject | 物件追蹤 | zh_TW |
| dc.subject | Sign recognition | en |
| dc.subject | Marking recognition | en |
| dc.subject | Space intersection | en |
| dc.subject | DtB method | en |
| dc.title | 以影像為基礎之交通標誌標線自動化辨識與幾何重構 | zh_TW |
| dc.title | Image-based Automatic Recognition and Reconstruction of Traffic Signs and Markings | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 103-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 蔡富安,楊明德,陳柏華 | |
| dc.subject.keyword | 標誌標線辨識,物件追蹤,空間前方交會,支持向量機,DtB向量, | zh_TW |
| dc.subject.keyword | Sign recognition,Marking recognition,Space intersection,DtB method, | en |
| dc.relation.page | 86 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-08-18 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| 顯示於系所單位： | 土木工程學系 | |
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