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dc.contributor.author陳明哲en_US
dc.contributor.authorMing-Che Chenen_US
dc.contributor.author蔡文祥en_US
dc.contributor.authorWen-Hsiang Tsaien_US
dc.date.accessioned2014-12-12T02:46:09Z-
dc.date.available2014-12-12T02:46:09Z-
dc.date.issued2004en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009223624en_US
dc.identifier.urihttp://hdl.handle.net/11536/76674-
dc.description.abstract本研究主要是提出一套基於電腦視覺技術,可讓自動車航行在室內環境中且具有安全監控的能力。我們利用一台小型自動車為實驗平台,並且利用無線操控的方式讓自動車航行在室內的環境中。我們設計了一套人簡單且有效的學習方式,讓使用者可以操控自動車行走且自由的選擇要被監控的物品或是房門,自動車將會自動的建立導航的地圖。在學習完路線、物品和門的資料之後,我們運用了一套完整的導航策略來完成安全巡邏的任務。這個策略包括了監控物品的安全偵測和房門情況的識別,利用自動車判斷物品是否遭竊或者是門被開起,我們能夠立刻發出警報給使用者,已達成安全巡邏的任務。最後我們以成功的學習與導航實驗結果證明本系統的完整性與可行性。zh_TW
dc.description.abstractA vision-based approach to security patrolling in indoor environments using autonomous vehicles is proposed. A small vehicle with wireless control and image grabbing capabilities is used as a test bed. Three stages of security patrolling are proposed. First, a simple learning strategy is designed for flexible and effective learning of reachable spots and monitored objects in indoor environments. Accordingly, a planned path is obtained, and monitored objects and doors are specified by analyzing user commands. Next, following the learned path, the vehicle can accomplish specified navigation sessions. Two different kinds of methods, mechanic error correction modeling and vehicle position modification by positions of monitored objects, are proposed for navigation accuracy maintenance. Finally, an object matching algorithm is used for checking the existence of monitoring objects and the opening status of doors. All the experimental results show flexibility and feasibility of the proposed approach for the application of indoor security patrolling.en_US
dc.language.isozh_TWen_US
dc.subject安全巡邏zh_TW
dc.subject自動車zh_TW
dc.subject導航zh_TW
dc.subjectSecurity patrollingen_US
dc.subjectroboten_US
dc.subjectautonomous vehicleen_US
dc.subjectnavigation strategyen_US
dc.title利用自動車作基於視覺之室內安全巡邏zh_TW
dc.titleVision-Based Security Patrolling in Indoor Environments Using Autonomous Vehiclesen_US
dc.typeThesisen_US
dc.contributor.department資訊科學與工程研究所zh_TW
Appears in Collections:Thesis


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